List of References on Evolutionary Multiobjective Optimization

List of References on Evolutionary Multiobjective Optimization

Maintained by

Carlos A. Coello Coello
ccoello@cs.cinvestav.mx
CINVESTAV-IPN
Departamento de Computación
Av. Instituto Politécnico Nacional No. 2508
Col. San Pedro Zacatenco
México, D.F. 07300

Last Update: June 23rd, 2015

(Keep in mind that this list is constantly being updated)

Author:

This list as a BibTeX, Gzipped PDF, Gzipped Postscript, or DVI file.

A

Gupta S. K. Aatmeeyata. Simulation and optimization of an industrial nylon 6 reactor: A review, Polymer-Plastics Technology And Engineering, Vol. 37, No. 2, pp. 201-239, 1998.

M. Abachizadeh and M. Tahani. An ant colony optimization approach to multi-objective optimal design of symmetric hybrid laminates for maximum fundamental frequency and minimum cost, Structural and Multidisciplinary Optimization, Vol. 37, No. 4, pp. 367--376, January 2009.

Raslan Hashim Al-Abaji. Evolutionary Techniques for Multi-Objective VLSI Netlist Partitioning, MSc Thesis, King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia, August 2002 (abstract).

A. Abakarov, Y. Sushkov, S. Almonacid and R. Simpson. Multiobjective Optimization Approach: Thermal Food Processing, Journal of Food Science, Vol. 74, No. 9, pp. E471--E487, November-December, 2009.

Babak Abbasi, Shahram Shadrokh and Jamal Arkat. Bi-objective resource-constrained project scheduling with robustness and makespan criteria, Applied Mathematics and Computation, Vol. 180, No. 1, pp. 146--152, September 2006.

Hussein A. Abbass, Ruhul Sarker and Charles Newton. PDE: A Pareto-frontier Differential Evolution Approach for Multi-objective Optimization Problems, Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), Vol. 2, IEEE Service Center, Piscataway, New Jersey, pp. 971--978, May 2001.

Hussein A. Abbass. A Memetic Pareto Evolutionary Approach to Artificial Neural Networks, in The Australian Joint Conference on Artificial Intelligence, Adelaide, Australia, Lecture Notes in Artificial Intelligence Vol. 2256, Springer, pp. 1-12, December 2001.

Hussein A. Abbass and Ruhul Sarker. Simultaneous Evolution of Architectures and Connection Weights in ANNs, in The Artificial Neural Networks and Expert Systems Conference (ANNES'01), Dunedin, New Zealand, pp. 16--21, November 2001.

Hussein A. Abbass. The Self-Adaptive Pareto Differential Evolution Algorithm, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 831--836, IEEE Service Center, Piscataway, New Jersey, May 2002.

Hussein A. Abbass and Ruhul Sarker. The Pareto Differential Evolution Algorithm, International Journal on Artificial Intelligence Tools, Vol. 11, No. 4, pp. 531--552, 2002.

Hussein A. Abbass. An Evolutionary Artificial Neural Networks Approach for Breast Cancer Diagnosis, Artificial Intelligence in Medicine, Vol. 25, No. 3, pp. 265--281, 2002.

Hussein A. Abbass and Kalyanmoy Deb. Searching under Multi-evolutionary Pressures, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 391--404, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.

Hussein A. Abbass. Speeding up backpropagation using multiobjective evolutionary algorithms, Neural Computation, Vol. 15, No. 11, pp. 2705--2726, November 2003.

Hussein A. Abbass. Pareto Neuro-Evolution: Constructing Ensemble of Neural Networks Using Multi-objective Optimization, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 3, pp. 2074--2080, IEEE Press, Canberra, Australia, December 2003.

Hussein A. Abbass. An Inexpensive Cognitive Approach for Biobjective Optimization using Bliss Points and Interaction, in Xin Yao et al. (editors), Parallel Problem Solving from Nature - PPSN VIII, Springer-Verlag, Lecture Notes in Computer Science, Vol. 3242, pp. 712--721, Birmingham, UK, September 2004.

H.A. Abbass. An economical cognitive approach for bi-objective optimization using bliss points, visualization and interaction, in Soft Computing, 10(8):687-698, June 2006.

Hussein Abbass. Pareto-Optimal Approaches to Neuro-Ensemble Learning, in Yaochu Jin (Editor), Multi-Objective Machine Learning, pp. 407--427, Springer. Studies in Computational Intelligence, Volume 16, Berlin, 2006.

Hussein A. Abbass, Sameer Alam and Axel Bender. MEBRA: Multiobjective Evolutionary-Based Risk Assessment, IEEE Computational Intelligence Magazine, Vol. 4, No. 3, pp. 29--36, August 2009.

Mostafa I.H. Abd-El-Barr and Salman A. Khan. Design and analysis of a fault tolerant hybrid mobile scheme, Information Sciences, Vol. 177, No. 12, pp. 2602--2620, June 15, 2007.

Gh Abdollahi and M. Meratizaman. Multi-objective approach in thermoenvironomic optimization of a small-scale distributed CCHP system with risk analysis, Energy and Buildings, Vol. 43, No. 11, pp. 3144--3153, November 2011.

Wahabou Abdou, Adrien Henriet, Christelle Bloch, Dominique Dhoutaut, Damien Charlet and Francois Spies. Using an evolutionary algorithm to optimize the broadcasting methods in mobile ad hoc networks, Journal of Network and Computer Applications, Vol. 36, No. 6, pp. 1794--1804, November 2011.

Wahabou Abdou, Christelle Bloch, Damien Charlet and François Spies. Adaptive Multi-Objective Genetic Algorithm using Multi-Pareto-Ranking, in 2012 Genetic and Evolutionary Computation Conference (GECCO'2012), pp. 449--456, ACM Press, Philadelphia, USA, July 2012, ISBN: 978-1-4503-1177-9.

Wahabou Abdou, Christelle Bloch, Damien Charlet and François Spies. Multi-Pareto-Ranking Evolutionary Algorithm, in Jin-Kao Hao and Martin Middendorf (editors), Evolutionary Computation in Combinatorial Optimization, 12th European Conference, EvoCOP 2012, pp. 194--205, Springer. Lecture Notes in Computer Science Vol. 7245, Málaga, Spain, April 11-13, 2012.

Salwani Abdullah, Hamza Turabieh, Barry McCollum and Paul McMullan. A Multi-objective Post Enrolment Course Timetabling Problems: A New Case Study, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 435--441, IEEE Press, Barcelona, Spain, July 18--23, 2010.

Hossam Abdelgawad, Baher Abdulhai and Mohamed Wahba. Multiobjective Optimization for Multimodal Evacuation, Transportation Research Record, Vol. 2196, pp. 21--33, 2010.

E. Abele and M. Fujara. Simulation-Based Twist Drill Design and Geometry Optimization, CIRP Annals-Manufacturing Technology, Vol. 59, No. 1, pp. 145--150, 2010.

Manuel Blanco Abello, Lam Thu Bui and Zbignew Michalewicz. An Adaptive Approach for Solving Dynamic Scheduling with Time-varying Number of Tasks - Part I, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 1703--1710, IEEE Service Center, New Orleans, Lousiana, USA, 5--8 June, 2011.

Manuel Blanco Abello, Lam Thu Bui and Zbignew Michalewicz. An Adaptive Approach for Solving Dynamic Scheduling with Time-varying Number of Tasks - Part II, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 1711--1718, IEEE Service Center, New Orleans, Lousiana, USA, 5-8 June, 2011.

Manuel Blanco Abello, Zbigniew Michalewicz and Lam Thu Bui. A reactive-proactive approach for solving dynamic scheduling with time-varying number of Tasks, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 1132--1141, IEEE Press, Brisbane, Australia, June 10-15, 2012.

Hassan K. Abdulrahim and Fuad N. Alasfour. Multi-Objective Optimisation of hybrid MSF-RO desalination system using Genetic Algorithm, International Journal of Exergy, Vol. 7, No. 3, pp. 387--424, 2010.

M.F. Abbod, D.A. Linkens and M. Mahfouf. Multi-Objective Genetic Optimization for Self-Organizing Fuzzy Logic Control. In Proceedings of UKACC Control'98, pp. 1575--1580, University of Wales Swansea, IEE, UK, september 1998.

N.R. Abburi and U.S. Dixit. Multi-objective optimization of multipass turning processes, International Journal of Advanced Manufacturing Technology, Vol. 32, No. 9--10, pp. 902--910, April 2007.

M.A. Abido. A new multiobjective evolutionary algorithm for environmental/economic power dispatch, Power Engineering Society Summer Meeting, Vol. 2, pp. 1263--1268, IEEE, 2001.

M.A. Abido and J.M. Bakhashwain. A Novel Multiobjective Evolutionary Algorithm for Optimal Reactive Power Dispatch Proble, in Proceedings of the 2003 10th IEEE International Conference on Electronics, Circuits and Systems, 2003 (ICECS 2003), IEEE, Vol. 3, pp. 1054--1057, December 2003.

M.A. Abido. A Niched Pareto Genetic Algorithm for multiobjective environmental/economic dispatch, International Journal of Electrical Power & Energy Systems, Vol. 25, No. 2, pp. 97--105, February 2003.

M.A. Abido. Environmental/economic power dispatch using multiobjective evolutionary algorithms: A comparative study, in 2003 IEEE-Power-Engineering-Society General Meeting, pp. 920--925, IEEE Press, Toronto, Canada, July 13-17, 2003, ISBN 0-7803-7989-6.

M.A. Abido and J. M. Bakhashwain. Optimal VAR dispatch using a multiobjective evolutionary algorithm, International Journal of Electrical Power & Energy Systems, pp. 13--20, Vol. 27, No. 1, January 2005.

M.A. Abido. Multiobjective Evolutionary Algorithms for Electric Power Dispatch Problem, IEEE Transactions on Evolutionary Computation, Vol. 10, No. 3, pp. 315--329, June 2006.

M.A. Abido. Multiobjective Optimal VAR Dispatch Using Strength Pareto Evolutionary Algorithm, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 2745--2751, IEEE, Vancouver, BC, Canada, July 2006.

M.A. Abido. Two-Level of Nondominated Solutions Approach to Multiobjective Particle Swarm Optimization, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 726--733, Vol. 1, ACM Press, London, UK, July 2007.

M. A. Abido. Multiobjective particle swarm for environmental/economic dispatch problem, in 2007 Conference Proceedings IPEC, Vols 1-3, pp. 1385--1390, IEEE, Singapore, Singapore, December 03-06, 2007, ISBN 978-981-05-9423-7.

M.A. Abido. Multiobjective particle swarm optimization for optimal power flow problem, in 2008 12th International Middle East Power System Conference, pp. 485--489, IEEE Press, Aswan, Egypt, March 12-15, 2008, ISBN 978-1-4244-1933-3.

M.A. Abido. Multiobjective Particle Swarm Optimization for enviromental/economic dispatch problem, Electric Power System Research, Vol. 79, No. 7, pp. 1105--1113, July 2009.

M. A. Abido and N. A. Al-Ali. Multi-Objective Differential Evolution for Optimal Power Flow, in International Conference on Power Engineering, Energy and Electrical Drives (POWERENG '09), pp. 101--106, IEEE Computer Society, Lisbon, Portugal, March 18-20, 2009.

Mohammad A. Abido. Multiobjective Evolutionary Algorithms for Electric Power Dispatch Problem, in Christine L. Mumford and Lakhmi C. Jain (editors), Computational Intelligence Collaboration, Fusion and Emergence, pp. 47--82, Springer, Studies in Computational Intelligence (SCI), Berlin, ISBN 978-3-642-01799-5, 2010.

M.A. Abido. Multiobjective particle swarm optimization with nondominated local and global sets, Natural Computing, Vol. 9, No. 3, pp. 747--766, September 2010.

M.A. Abido and Ashraf M. Elazouni. Multiobjective Evolutionary Finance-Based Scheduling: Entire Projects' Portfolio, Journal of Computing in Civil Engineering, Vol. 25, No. 1, pp. 85--97, January-February, 2011.

M.A. Abido. Multiobjective Particle Swarm Optimization for Optimal Power Flow Problem, in Bijaya Ketan Panigrahi, Yuhui Shi and Meng-Hiot Lim (editors), Handbook of Swarm Intelligence. Concepts, Principles and Applications, pp. 241--268, Springer-Verlag, Belin, Germany, 2011. ISBN 978-3-642-17389-9.

M. A. Abido and N. A. Al-Ali. Multi-Objective Optimal Power Flow Using Differential Evolution, Arabian Journal for Science and Engineering, Vol. 37, No. 4, pp. 991--1005, June 2012.

M. A. Abo-Sinna, Y. Yousria Abo-Elnaga and A. A. Mousa. An interactive dynamic approach based on hybrid swarm optimization for solving multiobjective programming problem with fuzzy parameters, Applied Mathematical Modelling, Vol. 38, No. 7-8, pp. 2000--2014, April 1, 2014.

M. Abouhamze and M. Shakeri. Multi-objective stacking sequence optimization of laminated cylindrical panels using a genetic algorithm and neural networks, Composite Structures, Vol. 81, No. 2, pp. 253--263, November 2007.

R. Aboulaich, R. Ellaia and S. El Moumen. The Mean-Variance-CVaR model for Portfolio Optimization Modeling using a Multi-Objective Approach Based on a Hybrid Method, Mathematical Modelling of Natural Phenomena, Vol. 5, No. 7, pp. 103--108, 2010.

J.A.R. Abraham and I.C. Parmee. Extraction of Emerging Multi-Objective Design Information from COGA Data, in I.C. Parmee (editor), Adaptive Computing in Design and Manufacture VI, pp. 221--233, Springer, London, 2004.

Ajith Abraham, Lakhmi Jain and Robert Goldberg (editors). Evolutionary Multiobjective Optimization. Theoretical Advances and Applications, Springer, USA, 2005, ISBN 1-85233-787-7.

Ajith Abraham and Lakhmi Jain. Evolutionary Multiobjective Optimization, in Ajith Abraham, Lakhmi Jain and Robert Goldberg (editors), Evolutionary Multiobjective Optimization. Theoretical Advances and Applications, pp. 1--6, Springer, USA, 2005.

Ajith Abraham, Crina Grosan, Sang Yong Han and Alexander Gelbukh. Evolutionary Multiobjective Optimization Approach for Evolving Assemble of Intelligent Paradigms for Stock Market Modeling, in Alexander Gelbukh, Álvaro de Albornoz and Hugo Terashima-Marín (editors), MICAI 2005: Advances in Artificial Intelligence, Springer, pp. 673--681, Lecture Notes in Artificial Intelligence Vol. 3789, Monterrey, México, November 2005.

Ajith Abraham, Hongbo Liu, Crina Grosan and Fatos Xhafa. Nature Inspired Meta-heuristics for Grid Scheduling: Single and Multi-objective Optimization Approaches, in Fatos Xhafa and Ajith Abraham (editors), Metaheuristics for Scheduling in Distributed Computing Environments, pp. 247--272, Berlin, Germany, Springer. Studies in Computational Intelligence Vol. 146, 2008.

Ahmed R. Abul'Wafa. Optimization of economic/emission load dispatch for hybrid generating systems using controlled Elitist NSGA-II, Electric Power Systems Research, Vol. 105, pp. 105--151, December 2013.

Giovanni Acampora, Hisao Ishibuchi and Autilia Vitiello. A Comparison of Multi-Objective Evolutionary Algorithms for the Ontology Meta-Matching Problem, in 2014 IEEE Congress on Evolutionary Computation (CEC'2014), pp. 413--420, IEEE Press, Beijing, China, 6-11 July 2014, ISBN 978-1-4799-1488-3.

Adnan Acan and Ahmet Unveren. Evolutionary Multiobjective Optimization with a Segment-Based External Memory Support for the Multiobjective Quadratic Assignment Problem, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 2723--2729, Vol. 3, IEEE Service Center, Edinburgh, Scotland, September 2005.

Jesús Antonio Acosta Sarmiento. Aprendizaje de Particiones Difusas para Razonamiento Inductivo, PhD thesis, Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial, Universitat Politècnica de Catalunya, Barcelona, Spain, December 2006 (In Spanish).

Merin Achankunju, R. Pushpalakshmi and A. Vincent Antony Kumar. Particle Swarm Optimization based secure QoS clustering for Mobile Ad hoc Network, in 2013 International Conference on Communications and Signal Processing (ICCSP 2013), pp. 315--320, IEEE Press, Melmaruvathur, India, April 3-5, 2013, ISBN 978-1-4673-4866-9.

J. Adeyemo and F.A.O. Otieno. Multi-Objective Differential Evolution Algorithm for Solving Engineering Problems, Journal of Applied Sciences, Vol. 9, No. 20, pp. 3652--3661, 2009.

Josiah Adeyemo and Fred Otieno. Differential Evolution algorithm for solving multi-objective crop planning model, Agricultural Water Management, Vol. 97, No. 6, pp. 848--856, June, 2010.

Josiah Adeyemo, Faizal Bux and Fred Otieno. Differential evolution algorithm for crop planning: Single and multi-objective optimization model, International Journal Of The Physical Sciences, Vol. 5, No. 10, pp. 1592-1599, September 4, 2010.

J. A. Adeyemo and O. O. Olofintoye. Evaluation of Combined Pareto Multiobjective Differential Evolution on Tuneable Problems, Internatioanl Journal of Simulation Modelling, Vol. 13, No. 3, pp. 276--287, September 2014.

M. Rezaei Adaryani and A. Karami. Artificial bee colony algorithm for solving multi-objective optimal power flow problem, International Journal of Electrical Power & Energy Systems, Vol. 53, pp. 219--230, December 2013.

A. M. Adham, N. Mohd-Ghazali and R. Ahmad. Performance optimization of a microchannel heat sink using the Improved Strength Pareto Evolutionary Algorithm (SPEA2), Journal of Engineering Thermophysics, Vol. 24, No. 1, pp. 86--100, January 2015.

M. A. Adibi, M. Zandieh and M. Amiri. Multi-objective scheduling of dynamic job shop using variable neighborhood search, Expert Systems With Applications, Vol. 37, No. 1, pp. 282--287, January 2010.

Salem Adra. Optimisation Techniques for Gas Turbine Engine Control Systems, Masters thesis, Department of Computer Science, The University of Sheffield, 27 August, 2003 (abstract).

Salem F. Adra, Ian Griffin and Peter J. Fleming. Hybrid Multiobjective Genetic Algorithm with a New Adaptive Local Search Process, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 1009--1010, Vol. 1, ACM Press, New York, USA, June 2005.

Salem F. Adra, Ahmed I. Hamody, Ian Griffin and Peter J. Fleming. A Hybrid Multi-Objective Evolutionary Algorithm Using an Inverse Neural Network for Aircraft Control System Design, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 1--8, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.

S.F. Adra, I.A. Griffin and P.J. Fleming. An Adaptive Memetic Algorithm for Enhanced Diversity, in I.C. Parmee (Editor), Adaptive Computing in Design and Manufacture 2006. Proceedings of the Seventh International Conference, pp. 251--254, The Institute for People-centred Computation, Bristol, UK, April 2006.

Salem F. Adra, Ian Griffin and Peter J. Fleming. A Comparative Study of Progressive Preference Articulation Techniques for Multiobjective Optimisation, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 908--921, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.

Salem F. Adra, Ian Griffin and Peter J. Fleming. An Informed Convergence Accelerator for Evolutionary Multiobjective Optimiser, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 734--740, Vol. 1, ACM Press, London, UK, July 2007.

Salem Fawaz Adra. Improving Convergence, Diversity and Pertinency in Multiobjective Optimisation, PhD thesis, Department of Automatic Control and Systems Engineering, The University of Sheffield, UK, October 2007 (abstract).

Salem F. Adra and Peter F. Fleming. A Diversity Management Operator for Evolutionary Many-Objective Optimisation, in Matthias Ehrgott, Carlos M. Fonseca, Xavier Gandibleux, Jin-Kao Hao and Marc Sevaux (editors), Evolutionary Multi-Criterion Optimization. 5th International Conference, EMO 2009, pp. 81--94, Springer. Lecture Notes in Computer Science Vol. 5467, Nantes, France, April 2009.

Salem F. Adra, Tony J. Dodd, Ian A. Griffin and Peter J. Fleming. Convergence Accelaration Operator for Multiobjective Optimization, IEEE Transactions on Evolutionary Computation, Vol. 13, No. 4, pp. 825--847, August 2009.

Salem F. Adra, Ian Griffin and Peter J. Fleming. A Convergence Acceleration Technique for Multiobjective Optimisation, in Chi-Keong Goh, Yew-Soon Ong, and Kay Chen Tan (editors), Multi-Objective Memetic Algorithms, chapter 9, pp. 183--205, Springer, Studies in Computational Intelligence, Vol. 171, Berlin, Germany, 2009. ISBN 978-3-540-88050-9.

Salem F. Adra and Peter J. Fleming. Progressive diversity management in evolutionary multiobjective optimisation, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 3852--3859, IEEE Press, Barcelona, Spain, July 18--23, 2010.

{Salem F. Adra and Peter J. Fleming. Diversity Management in Evolutionary Many-Objective Optimization, IEEE Transactions on Evolutionary Computation, Vol. 15, No. 2, pp. 183--195, April 2011.

Salem F. Adra, Mariam Kiran, Phil McMinn and Neil Walkinshaw. A Multiobjective Optimisation Approach For The Dynamic Inference and Refinement Of Agent-Based Model Specifications, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 2237--2244, IEEE Service Center, New Orleans, Louisiana, USA, 5--8 June, 2011.

Jeroen C.J.H. Aerts, Marjan van Herwijnen and Theodor J. Stewart. Using Simulated Annealing and Spatial Goal Programming for Solving a Multi Site Land Use Allocation Problem, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 448--463, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.

Zouhaler Affi, Badreddine El-Kribi and Lotfi Romdhane. Advanced mechatronic design using a multi-objective genetic algorithm optimization of a motor-driven four-bar system, Mechatronics, Vol. 17, No. 9, pp. 489-500, November 2007.

F. Afsari, M. Eftekhari, E. Eslami and P.-Y. Woo. Interpretability-based fuzzy decision tree classifier a hybrid of the subtractive clustering and the multi-objective evolutionary algorithm, Soft Computing, Vol. 17, No. 9, pp. 1673--1686, September 2013.

A. Afshar, F. Sharifi and M.R. Jalali. Non-dominated archiving multi-colony ant algorithm for multi-objective optimization: Application to multi-purpose reservoir operation, Engineering Optimization, Vol. 41, No. 4, pp. 313--325, April 2009.

Abbas Afshar and Habib Fathi. Fuzzy multi-objective optimization of finance-based scheduling for construction projects with uncertainties in cost, Engineering Optimization, Vol. 41, No. 11, pp. 1063-1080, November, 2009.

A. Afshar, A. Kasaeian Ziaraty, A. Kaveh and F. Sharifi. Nondominated Archiving Multicolony Ant Algorithm in Time-Cost Trade-Off Optimization, Journal of Construction Engineering and Management, Vol. 135, No. 7, pp. 668--674, July 2009.

Abbas Afshar, Hamideh Kazemi and Motahareh Saadatpour. Particle Swarm Optimization for Automatic Calibration of Large Scale Water Quality Model (CE-QUAL-W2): Application to Karkheh Reservoir, Iran, Water Resources Management, Vol. 25, No. 10, pp. 2613--2632, August 2011.

Abbas Afshar and Hamideh Kazemi. Multi objective calibration of large scaled water quality model using a hybrid particle swarm optimization and neural network algorithm , KSCE Journal of Civil Engineering, Vol. 16, No. 6, pp. 913--918, September 2012.

Arshad Afzal and Kwang-Yong Kim. Multi-Objective Optimization of a Passive Micromixer Based on Periodic Variation of Velocity Profile, Chemical Engineering Communications, Vol. 202, No. 3, pp. 322--331, March 4, 2015.

Ehsan Afzalan and Mahmood Joorabian. Emission, reserve and economic load dispatch problem with non-smooth and non-convex cost functions using epsilon-multi-objective genetic algorithm variable, International Journal of Electrical Power & Energy Systems, Vol. 52, pp. 55--67, November 2013.

Alexandros Agapitos and Simon M. Lucas. Evolving a Statistics Class Using Object Oriented Evolutionary Programming, in Marc Ebner, Michael O'Neill, Anikó Ekárt, Leonardo Vanneschi and Anna Isabel Esparcia-Alcázar (editors), Genetic Programming, 10th European Conference, EuroGP 2007, pp. 291--300, Springer. Lecture Notes in Computer Science Vol. 4445, Valencia, Spain, April 2007.

Alexandros Agapitos, Julian Togelius and Simon M. Lucas. Multiobjective techniques for the Use of State in Genetic Programming applied to Simulated Car Racing. In 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 1562--1569, IEEE Press, Singapore, September 2007.

Pranab Agarwal. Conceptual Design of Long-Span Trusses using Multi-Stage Heuristics, Masters Thesis, Texas A&M University, College Station, Texas, USA, May 2005 (abstract).

P. Agarwal and A.M. Raich. Design and optimization of steel trusses using genetic algorithms, parallel computing and human-computer interaction, Structural Engineering and Mechanics, Vol. 23, No. 4, pp. 325--337, July 10, 2006.

Aaditya Agarwal and Santosh K. Gupta. Jumping gene adaptations of NSGA-II and their use in the multi-objective optimal design of shell and tube heat exchangers, Chemical Engineering Research & Design, Vol. 86, No. A2, pp. 123--139, February, 2008.

Aaditya Agarwal and Santosh K. Gupta. Multiobjective optimal design of heat exchanger networks using new adaptations of the elitist nondominated sorting genetic algorithm, NSGA-II, Industrial & Engineering Chemistry Research, Vol. 47, No. 10, pp. 3489--3501, May 21, 2008.

Akash Agarwal, Frank Pettersson, Arunima Singh, Chang Sun Kong, Henrik Saxén, Krishna Rajan, Shuichi Iwata and Nirupam Chakraborti. Identification and Optimization of AB_2 Phases Using Principal Component Analysis, Evolutionary Neural Nets and Multiobjective Genetic Algorithms, Materials and Manufacturing Processes, Vol. 24, No. 3, pp. 274--281, March 2009.

A. Agarwal, U. Tewary, F. Pettersson, S. Das, H. Saxen and N. Chakraborti. Analysing blast furnace data using evolutionary neural network and multiobjective genetic algorithms, Ironmaking & Steelmaking, Vol. 37, No. 5, pp. 353--359, July, 2010.

Manoj Agarwal, Lovekesh Vig and Naveen Kumar. Multi-objective Robot Coalition Formation for Non-additive Environments, in Sabina Jeschke, Honghai Liu and Daniel Schilberg (editors), Intelligent Robotics and Applications, 4th International Conference, ICIRA 2011, pp. 346--355, Springer. Lecture Notes in Artificial Intelligence Vol. 7101, Aachen, Germany, December 6-8, 2011.

Elson Agastra, Leonardo Lucci, Renzo Nesti, Giuseppe Pelosi and Stefano Selleri. Modified NSGA-II Algorithm for Multiobjective Optimization of Compact High-Efficiency Square Horns, International Journal of RF and Microwave Computer-Aided Engineering, Vol. 21, No. 2, pp. 174--181, March, 2011.

Elson Agastra, Giuseppe Pelosi, Stefano Selleri and Ruggero Taddei. Taguchi's method for multi-objective optimization problems, International Journal of RF and Microwave Computer-Aided Engineering, Vol. 23, No. 3, pp. 357--366, May 2013.

Varun Aggarwal and Una-May O'Reilly. COSMO: A Correlation Sensitive Mutation Operator for Multi-Objective Optimization, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 741--748, Vol. 1, ACM Press, London, UK, July 2007.

Eleni Aggelogiannaki and Haralarnbos Sarimveis. Simulated annealing algorithm for prioritized multiobjective optimization-implementation in an adaptive model predictive control configuration, IEEE Transactions on Systems, Man and Cybernetics Part B--Cybernetics, Vol. 37, No. 4, pp. 902--915, August 2007.

Hadi Aghassi, Sedigheh Nader Abadi and Emad Roghanian. A Multi-objective Genetic Algorithm for Optimization Time-Cost Trade-off Scheduling, in Dickson Lukose, Abdul Rahim Ahmad and Azizah Suliman (editors), Knowledge Technology, Third Knowledge Technology Week, KTW 2011, pp. 356--359, Springer. Communications in Computer and Information Science Vol. 295, Kajang, Malaysia, July 18-22, 2011.

Brahim Aghezzaf and Mohamed Naimi. The two-stage recombination operator and its application to the multiobjective 0/1 knapsack problem: A comparative study, Computers & Operations Research, Vol. 36, No. 12, pp. 3247--3262, December 2009.

D. K. Agrafiotis. Multiobjective Optimization of Combinatorial Libraries, Molecular Diversity, Vol. 5, No. 4, pp. 209--230, 2000.

D. K. Agrafiotis. Multiobjective optimization of combinatorial libraries, IBM Journal of Research and Development, Vol. 45, No. 3-4, pp. 545--566, May-July 2001.

D. K. Agrafiotis. Multiobjective optimization of combinatorial libraries, Journal of Computer-Aided Molecular Design, Vol. 16, No. 5-6, pp. 335--356, May-June, 2002.

N. Agrawal, G.P. Rangaiah, A.K. Ray and S.K. Gupta. Multi-Objective Optimization of the Operation of an Industrial Low-Density Polyethylene Tubular Reactor Using Genetic Algorithm and Its Jumping Gene Adaptations, Industrial and Engineering Chemistry Research, Vol. 45, pp. 3182--3199, 2006.

Naveen Agrawal, G. P. Rangaiah, Ajay K. Ray and Santosh K. Gupta. Design stage optimization of an industrial low-density polyethylene tubular reactor for multiple objectives using NSGA-II and its jumping gene adaptations, Chemical Engineering Science, Vol. 62, No. 9, pp. 2346--2365, May, 2007.

Shubham Agrawal, Yogesh Dashora, Manoj Kumar Tiwari and Young-Jun Son. Interactive Particle Swarm: A Pareto-Adaptive Metaheuristic to Multiobjective Optimization, IEEE Transactions on Systems, Man and Cybernetics Part A--Systems and Humans, Vol. 38, No. 2, pp. 258--277, March 2008.

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Jose Aguilar and Pablo Miranda. Resolution of the Left Ventricle 3D Reconstruction Problem using Approaches based on Genetic Algorithm for Multiobjective Problems, In 1999 Congress on Evolutionary Computation, pages 913--920, Vol. 2, Washington, D.C., July 1999. IEEE Service Center.

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Alberto A. Aguilar-Lasserre, Marco A. Bautista Bautista, Antonin Ponsich and Magno A. Gonzalez Huerta. An AHP-based decision-making tool for the solution of multiproduct batch plant design problem under imprecise demand, Computers & Operations Research, Vol. 36, No. 3, pp. 711--736, March 2009.

Hernán E. Aguirre, Kiyoshi Tanaka, Tatsuo Sugimura and Shinjiro Oshita. Halftone Image Generation with Improved Multiobjective Genetic Algorithm. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pp. 501--515. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001.

Hernán Eduardo Aguirre Durán. Generational Parallel Varying Mutation GAs and their Applications, PhD thesis, Shinshu University, Japan, March 2003 (abstract) .

Arturo Hernández Aguirre, Salvador Botello Rionda, Carlos A. Coello Coello, Giovanni Lizárraga Lizárraga and Efrén Mezura Montes. Handling Constraints using Multiobjective Optimization Concepts, International Journal for Numerical Methods in Engineering, Volume 59, No. 15, pp. 1989--2017, April 2004.

Arturo Hernández Aguirre, Ricardo Salem Zebulum and Carlos A. Coello Coello. Evolutionary Multiobjective Design targeting a Field Programmable Transistor Array, in Ricardo S. Zebulum, David Gwaltney, Gregory Hornby, Didier Keymeulen, Jason Lohn and Adrian Stoica (editors), Proceedings of the 2004 NASA/DoD Conference on Evolvable Hardware, pp. 199--205, IEEE Computer Society, Los Alamitos, California, June 2004.

Hernán E. Aguirre, Masahiko Sato and Kiyoshi Tanaka. Preliminary Study on the Performance of Multi-objective Evolutionary Algorithms with MNK-Landscapes, in Proceedings of the 2004 RISP International Workshop on Nonlinear Circuits and Signal Processing (NCSP 2004), pp. 315--318, The Research Institute of Signal Processing Japan, Hawaii, USA, March 2004.

Hernán E. Aguirre and Kiyoshi Tanaka. Insights on Properties of Multiobjective MNK-Landscapes, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 196--203, Portland, Oregon, USA, June 2004.

Arturo Hernández Aguirre, Salvador Botello Rionda and Carlos A. Coello Coello. PASSSS: An Implementation of a Novel Diversity Strategy for Handling Constraints, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 403--410, Portland, Oregon, USA, June 2004.

Hernán E. Aguirre and Kiyoshi Tanaka. Effects of Elitism and Population Climbing on Multiobjective MNK-Landscapes, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 449--456, Portland, Oregon, USA, June 2004.

Arturo Hernández Aguirre and Salvador Botello Rionda. Evolutionary Multi-Objective Optimization of Trusses, in Carlos A. Coello Coello and Gary B. Lamont (editors), Applications of Multi-Objective Evolutionary Algorithms, pp. 201--226, World Scientific, Singapore, 2004.

H. Aguirre and K. Tanaka. Random bit climbers on multiobjective MNK-Landscapes: Effects of memory and population climbing, IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences, Vol. E88A, No. 1, pp. 334--345, January 2005.

Hernán Aguirre and Kiyoshi Tanaka. Selection, Drift, Recombination and Mutation in Multiobjective Evolutionary Algorithms on Scalable MNK-Landscapes, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 355--369, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.

Hernán E. Aguirre and Kiyoshi Tanaka. Working principles, behavior and performance of MOEAs on MNK-landscapes, European Journal of Operational Research, Vol. 181, No. 3, pp. 1670--1690, 16 September, 2007.

Hernán Aguirre, Hiroyuki Okazaki and Yasushi Fuwa. An Evolutionary Multiobjective Approach to Design Highly Non-linear Boolean Functions, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 749--756, Vol. 1, ACM Press, London, UK, July 2007.

Hernan Aguirre, Yasushi Fuwa, Eiki Motoyama, Tsutomu Nonoyarna and Haruo Kaneko. Evolutionary multiobjective optimization of topologies for an urban ad-hoc network, in 2007 IEEE International Conference on Systems, Man and Cybernetics, Vols 1-8, pp. 3376--3381, IEEE, Montreal, Cook Islands, October 07-10, 2007, ISBN 978-1-4244-0990-7.

Hernán Aguirre and Kiyoshi Tanaka. Robust Optimization by ε-Ranking on High Dimensional Objective Spaces, in Xiaodong Li, Michael Kirley, Mengjie Zhang, David G. Green, Victor Ciesielski, Hussein A. Abbass, Zbigniew Michalewicz, Tim Hendtlass, Kalyanmoy Deb, Kay Chen Tan, Jürgen Branke and Yuhui Shi (editors), Simulated Evolution and Learning, 7th International Conference, SEAL 2008, pp. 421--431, Springer. Lecture Notes in Computer Science Vol. 5361, Melbourne, Australia, December 7-10, 2008.

Hernán Aguirre and Kiyoshi Tanaka. Many-Objective Optimization by Space Partitioning and Adaptive ε-Ranking on MNK-Landscapes, in Matthias Ehrgott, Carlos M. Fonseca, Xavier Gandibleux, Jin-Kao Hao and Marc Sevaux (editors), Evolutionary Multi-Criterion Optimization. 5th International Conference, EMO 2009, pp. 407--422, Springer. Lecture Notes in Computer Science Vol. 5467, Nantes, France, April 2009.

Hernán E. Aguirre and Kiyoshi Tanaka. Space partitioning with adaptive ε-ranking and substitute distance assignments: a comparative study on many-objective MNK-landscapes, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 547--554, ACM Press, Montreal, Canada, July 8--12 2009. ISBN 978-1-60558-325-9 .

Hernan Aguirre and Kiyoshi Tanaka. Adaptive ε-Ranking on MNK-Landscapes, in 2009 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM'2009), pp. 104--111, IEEE Press, Nashville, TN, USA, March 30--April 2 2009. ISBN 978-1-4244-2764-2 .

Hernán Aguirre and Kiyoshi Tanaka. A Hybrid Scalarization and Adaptive ε-Ranking Strategy for Many-Objective Optimization. in Robert Schaefer, Carlos Cotta, Joanna Kolodziej and Günter Rudolph, (editors), Parallel Problem Solving from Nature--PPSN XI, 11th International Conference, Proceedings, Part II, pp. 11--20, Springer, Lecture Notes in Computer Science Vol. 6239, Kraków, Poland, September, 2010.

Hernán Aguirre and Kiyoshi Tanaka. A study on the effects of rankings sensitive to density on many-objective MNK Landscapes, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 1089--1096, IEEE Press, Barcelona, Spain, July 18--23, 2010.

Hernán Aguirre and Kiyoshi Tanaka. Space Partitioning Evolutionary Many-Objective Optimization: Performance Analysis on MNK-Landscapes, Transactions of the Japanese Society for Artificial Intelligence, Vol. 25, No. 2, pp. 363--376, 2010.

Hernán Aguirre, Akira Oyama and Kiyoshi Tanaka. Adaptive ε-Sampling and ε-Hood for Evolutionary Many-Objective Optimization, in Robin C. Purshouse, Peter J. Fleming, Carlos M. Fonseca, Salvatore Greco and Jane Shaw (editors), Evolutionary Multi-Criterion Optimization, 7th International Conference, EMO 2013, pp. 322--336, Springer. Lecture Notes in Computer Science Vol. 7811, Sheffield, UK, March 19-22.

Hernén Aguirre, Arnaud Liefooghe, Sébastien Verel and Kiyoshi Tanaka. , in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 1507--1514, IEEE Press, Cancún, México, 20-23 June, 2013, ISBN 978-1-4799-0454-9.

Hernán Aguirre, Arnaud Liefooghe, Sébastien Verel and Kiyoshi Tanaka. An Analysis on Selection for High-Resolution Approximations in Many-Objective Optimization, in Thomas Bartz-Beielstein, Jürgen Branke, Bogdan Filipic and Jim Smith (editors), Parallel Problem Solving from Nature – PPSN XIII, 13th International Conference, pp. 487--497, Springer. Lecture Notes in Computer Science Vol. 8672, Ljubljana, Slovenia, September 13-17, 2014.

Hernán Aguirre, Yuki Yazawa, Akira Oyama and Kiyoshi Tanaka. Extending AΕ SΕ H from Many-objective to Multi-objective Optimization, in Grant Dick, Will N. Browne, Peter Whigham, Mengjie Zhang, Lam Thu Bui, Hisao Ishibuchi, Yaochu Jin, Xiaodong Li, Yuhui Shi, Pramod Singh, Kay Chen Tan and Ke Tang (editors), Simulated Evolution and Learning, 10th International Conference, SEAL 2014, pp. 239--250, Springer. Lecture Notes in Computer Science Vol. 8886, Dunedin, New Zealand, December 15-18, 2014.

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Pouria Ahmadi and Ibrahim Dincer. Thermodynamic and exergoenvironmental analyses, and multi-objective optimization of a gas turbine power plant, Applied Thermal Engineering, Vol. 31, No. 14-15, pp. 2529--2540, October 2011.

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Faez Ahmed and David Purdy. Controller Design of Active Suspension System with Terrain Preview Using Evolutionary Multi-objective Algorithms, in Kusum Deep, Atulya Nagar, Millie Pant and Jagdish Chand Bansal (editors), Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011), pp. 865--876, Springer. Advances in Intelligent and Soft Computing Vol. 131, December 20-22, 2011.

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G. Aiello and M. Enea and G. Galante A multi-objective approach to facility layout problem by genetic search algorithm and Electre method, Robotics and Computer-Integrated Manufacturing, Vol. 22, No. 5-6, pp. 447--455, October-December 2006

Giuseppe Aiello, Giada La Scalia and Mario Enea. A non dominated ranking Multi Objective Genetic Algorithm and electre method for unequal area facility layout problems, Expert Systems with Applications, Vol. 40, No. 12, pp. 4812--4819, September 15, 2013.

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Ronay Ak, Yanfu Li, Valeria Vitelli, Enrico Zio, Enrique Lopez Droguett and Carlos Magno Couto Jacinto. NSGA-II-trained neural network approach to the estimation of prediction intervals of scale deposition rate in oil & gas equipment, Expert Systems with Applications, Vol. 40, No. 4, pp. 1205--1212, March 2013.

Bahriye Akay. Synchronous and asynchronous Pareto-based multi-objective Artificial Bee Colony algorithms, Journal of Global Optimization, Vol. 57, No. 2, pp. 415--445, October 2013.

Reza Akbari and Koorush Ziarati. Multi-Objective bee swarm optimization, International Journal of Innovative Computing Information and Control, Vol. 8, No. 1B, pp. 715--726, January, 2012.

Reza Akbari, Ramin Hedayatzadeh, Koorush Ziarati and Bahareh Hassanizadeh. A multi-objective artificial bee colony algorithm, Swarm and Evolutionary Computation, Vol. 2, pp. 39--52, February 2012.

Mustafa Akbulut and Fazil O. Sonmez. Design optimization of laminated composites using a new variant of simulated annealing, Computers & Structures, Vol. 17 - 18, No. 89, pp. 1712--1724, September, 2011.

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Ugur Akyazi and A. Sima Uyar. Detection of DDoS Attacks via an Artificial Immune System-Inspired Multiobjective Evolutionary Algorithm, in Cecilia Di Chio, Anthony Brabazon, Gianni A. Di Caro, Marc Ebner, Muddassar Farooq, Andreas Fink, Jörn Grahl, Gary Greenfield, Penousal Machado, Michael O'Neill, Ernesto Tarantino and Neil Urquhard (editors), Applications of Evolutionary Computation, EvoApplications 2010: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoMUSART and EvoTRANSLOG, pp. 1--10, Springer. Lecture Notes in Computer Science Vol. 6025, Istanbul, Turkey, April 7-9, 2010.

Sameer Alam, Lam T. Bui, Hussein A. Abbass and Michael Barlow. Pareto Meta-heuristics for Generating Safe Flight Trajectories Under Weather Hazards, in Tzai-Der Wang, Xiaodong Li, Shu-Heng Chen, Xufa Wang, Hussein Abbass, Hitoshi Iba, Guoliang Chen and Xin Yao (editors), Simulated Evolution and Learning, 6th International Conference, SEAL 2006, pp. 829--836, Springer. Lecture Notes in Computer Science Vol. 4247, Hefei, China, October 2006.

M. S. Alam, M. O. Tokhi and M. A. Hossain. Designing of a Command Shaper Using Multi-Objective Particle Swarm Algorithm for Vibration Control of a Single-Link Flexible Manipulator System, in M. Xie, S. Dubowsky, J. G. Fontaine, M. O. Tokhi and G. S. Virk (editors), Advances in Climbing and Walking Robots, Proceedings, pp. 607--614, World Scientific Publ Co Pte Ltd, Singapore, Singapore, July 16-18, 2007, ISBN 978-981-270-815-1.

Sameer Alam, Chris Lokan and Hussein Abbass. What can make an airspace unsafe? Characterizing collision risk using multi-objective optimization, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 464--471, IEEE Press, Brisbane, Australia, June 10-15, 2012.

Dhafar Al-Ani and Saeid Habibi. Optimal Pump Operation for Water Distribution Systems Using a New Multi-agent Particle Swarm Optimization technique with EPANET, in 2012 25th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), IEEE Press, Montreal, Canada, April 29-May 2, 2012, ISBN 978-1-4673-1433-6.

Arturo. D. Alarcón-Rodríguez. A Multi-objective Planning Framework for Analysing the Integration of Distributed Energy Resources, PhD thesis, Institute of Energy and Environment, Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow, Scotland, April 2009 (abstract).

A. Alarcon-Rodriguez, E. Haesen, G. Ault, J. Driesen and R. Belmans. Multi-objective planning framework for stochastic and controllable distributed energy resources, IET Renewable Power Generation, Vol. 3, No. 2, pp. 227--238, JUne 2009.

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Bilal Alatas, Erhan Akin and Ali Karci. Modenar: Multi-objective differential evolution algorithm for mining numeric association rules, Applied Soft Computing, Vol. 8, No. 1, pp. 646--656, January 2008.

Bilal Alatas and Erhan Akin. Multi-objective rule mining using a chaotic particle swarm optimization algorithm, Knowledge-Based Systems, Vol. 22, No. 6, pp. 455-460, August 2009.

Inès Alaya and Christine Solnon and Khaled Ghédira. Ant Colony Optimization for Multi-objective Optimization Problems, in Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), Vol. 1, pp. 450--457, IEEE Computer Society Press, October 2007.

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Enrique Alba and Bernabé Dorronsoro. Cellular Genetic Algorithms, Springer, New York, 2008, ISBN 978-0-387-77609-5.

Enrique Alba, Gabriel Luque and Sergio Nesmachnow. Parallel metaheuristics: recent advances and new trends, International Transactions in Operational Research, Vol. 20, No. 1, pp. 1--48, January 2013.

Heyam AlBaity, Souham Meshoul and Ata Kaban. On extending quantum behaved particle swarm optimization to multiobjective context, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 996--1003, IEEE Press, Brisbane, Australia, June 10-15, 2012.

Heyam Al-Baity, Souham Meshoul and Ata Kaban. Constrained Multi-objective Optimization Using a Quantum Behaved Particle Swarm, in Tingwen Huang, Zhigang Zeng, Chuandong Li and Chi Sing Leung (editors), Neural Information Processing, 19th International Conference, ICONIP 2012, pp. 456--464, Springer. Lecture Notes in Computer Science Vol. 7665, Doha, Qatar, November 12-15, 2012, ISBN 978-3-642-34486-2.

Albert Albers, Noel Leon Rovira, Humberto Aguayo and Thomas Maier. Optimization with Genetic Algorithms and Splines as a way for Computer Aided Innovation, in G. Cascini (editor), Computer-Aided Innovation (CAI), pp. 7--18, Springer, Milan, Italy, September 7-10, 2008, ISBN 978-0-387-09696-4.

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Isolina Alberto, Asuncion Beamonte, Pilar Gargallo, Pedro M. Mateo and Manuel Salvador. Variable Selection in STAR Models with Neighbourhood Effects Using Genetic Algorithms, Journal Of Forecasting, Vol. 29, No. 8, pp. 728-750, December, 2010.

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Isolina Alberto, Carlos A. Coello Coello and Pedro M. Mateo. A comparative study of variation operators used for evolutionary multi-objective optimization, Information Sciences, Vol. 273, pp. 33--48, July 20, 2014.

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Gideon Avigad and Erella Eisenstadt. Robustness of Multi-Objective Optimal Solutions to Physical Deterioration Through Active Control, in Kalyanmoy Deb, Arnab Bhattacharya, Nirupam Chakraborti, Partha Chakroborty, Swagatam Das, Joydeep Dutta, Santosh K. Gupta, Ashu Jain, Varun Aggarwal, Jürgen Branke, Sushil J. Louis and Kay Chen Tan (editors), Simulated Evolution and Learning, 8th International Conference, SEAL 2010, pp. 394--403, Springer. Lecture Notes in Computer Science Vol. 6457, Kanpur, India, December 1-4, 2010.

Gideon Avigad, Erella Eisenstadt and Miri Weiss. The Optimization Versus Survival Problem and Its Solution by an Evolutionary Multi Evolutionary Algorithm, in Kalyanmoy Deb, Arnab Bhattacharya, Nirupam Chakraborti, Partha Chakroborty, Swagatam Das, Joydeep Dutta, Santosh K. Gupta, Ashu Jain, Varun Aggarwal, Jürgen Branke, Sushil J. Louis and Kay Chen Tan (editors), Simulated Evolution and Learning, 8th International Conference, SEAL 2010, pp. 494--503, Springer. Lecture Notes in Computer Science Vol. 6457, Kanpur, India, December 1-4, 2010.

Gideon Avigad and Amiram Moshaiov. Simultaneous concept-based evolutionary multi-objective optimization, Applied Soft Computing, Vol. 11, No. 1, pp. 193-207, January, 2011.

Gideon Avigad and Erella Eisenstadt Matalon. The multi-single-objective problem and its solution by way of evolutionary algorithms, Research in Engineering Design, Vol. 22, No. 2, pp. 87--102, April 2011 .

Gideon Avigad, Erella Eisenstadt and Valery Y. Glizer. Evolving a Pareto Front for an Optimal Bi-Objective Robust Interception Problem with Imperfect Information, in Oliver Schütze, Carlos A. Coello Coello, Alexandru-Adrian Tantar, Emilia Tantar, Pascal Bouvry, Pierre Del Moral and Pierrick Legrand (editors), EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II, pp. 121--135, Springer, Advances in Intelligent Systems and Computing Vol. 175, Berlin, Germany, 2012, ISBN 978-3-642-31519-0.

Gideon Avigad, Erella Eisenstadt and Oliver Schuetze. Handling changes of performance requirements in multi-objective problems, Journal of Engineering Design, Vol. 23, No. 8, pp. 597--617, 2012.

Gideon Avigad, Erella Eisenstadt, Alex Goldvard and Shaul Salomon. Transient responses' optimization by means of set-based multi-objective evolution, Engineering Optimization, Vol. 44, No. 4, pp. 407--426, 2012.

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Sunith Bandaru and Kalyanmoy Deb. Towards automating the discovery of certain innovative design principles through a clustering-based optimization technique, Engineering Optimization, Vol. 43, No. 9, pp. 911--941, 2011.

Sunith Bandaru, Cem Celal Tutum, Kalyanmoy Deb and Jesper Henri Hattel Higher-level Innovization: A Case Study from Friction Stir Welding Process Optimization, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 2782--2789, IEEE Service Center, New Orleans, Louisiana, USA, 5-8 June, 2011.

Sunith Bandaru and Kalyanmoy Deb. A Dimensionally-Aware Genetic Programming Architecture for Automated Innovization, in Robin C. Purshouse, Peter J. Fleming, Carlos M. Fonseca, Salvatore Greco and Jane Shaw (editors), Evolutionary Multi-Criterion Optimization, 7th International Conference, EMO 2013, pp. 513--527, Springer. Lecture Notes in Computer Science Vol. 7811, Sheffield, UK, March 19-22, 2013.

Sunith Bandaru and Kalyanmoy Deb. A Parameterless-Niching-Assisted Bi-Objective Approach to Multimodal Optimization, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 95--102, IEEE Press, Cancún, México, 20-23 June, 2013, ISBN 978-1-4799-0454-9.

Sunith Bandaru, Amos H.C. Ng and Kalyanmoy Deb. On the Performance of Classification Algorithms for Learning Pareto-Dominance Relations, in 2014 IEEE Congress on Evolutionary Computation (CEC'2014), pp. 1139--1146, IEEE Press, Beijing, China, 6-11 July 2014, ISBN 978-1-4799-1488-3.

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Susmita Bandyopadhyay and Arnab Das. Proposing Modified NSGA-II to Solve a Job Sequencing Problem, in M. Aswatha Kumar, R. Selvarani and T. V. Suresh Kumar (editors), Proceedings of International Conference on Advances in Computing, pp. 387--392, Springer. Advances in Intelligent Systems and Computing Vol. 174, 2013.

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Pei-Chann Chang, Shih-Hsin Chen and Chen-Hao Liu. Sub-population genetic algorithm with mining gene structures for multiobjective flowshop scheduling problems, Expert Systems with Applications, Vol. 33, No. 3, pp. 762--771, October 2007.

PeiChann Chang, ShihHsin Chen and WeiHsiu Huang. A sub-population genetic algorithm II (SPGAII) for the bi-criteria knapsack problem, in S. Zeng, Y. Liu, Q. Zhang and L. Kang (editors), Progress in ntelligence Computation and Application, Proceedings, pp. 81--86, China Univ GeosCiences Press, Wuhan, China, September 21-23, 2007, ISBN 978-7-5625-2204-1.

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Pei-Chann Chang, Shih-Hsin Chen, Chin-Yuan Fan and Chien-Lung Chan. Genetic algorithm integrated with artificial chromosomes for multi-objective flowshop scheduling problems, Applied Mathematics and Computation, Vol. 205, No. 2, pp. 550--561, November 15, 2008.

Pei-Chann Chang and Shih-Hsin Chen. The development of a sub-population genetic algorithm II (SPGA II) for multi-objective combinatorial problems, Applied Soft Computing, Vol. 9, No. 1, pp. 173--181, January 2009.

Shafaq B. Chaudhry, Victor C. Hung, Ratan K. Guha and Kenneth O. Stanley. Pareto-based evolutionary computational approach for wireless sensor placement, Engineering Applications of Artificial Intelligence, Vol. 24, No. 3, pp. 409--425, April 2011.

Li-Chiu Chang and Fi-John Chang. Multi-objective evolutionary algorithm for operating parallel reservoir system, Journal of Hydrology, Vol. 377, No. 1-2, pp. 12--20, October 20, 2009.

Dongxia Chang, Yao Zhao and Yanhui Xiao. A Robust Dynamic Niching Genetic Clustering Approach for Image Segmentation, in 2011 Genetic and Evolutionary Computation Conference (GECCO'2011), pp. 1077--1083, ACM Press, Dublin, Ireland, July 12-16, 2011.

Ya-Chin Chang. Multi-Objective Optimal SVC Installation for Power System Loading Margin Improvement, IEEE Transactions on Power Systems, Vol. 27, No. 2, pp. 984--992, May 2012.

Fanny Pernodet Chantrelle, Hicham Lahmidi, Werner Keilholz, Mohamed El Mankibi and Pierre Michel. Development of a multicriteria tool for optimizing the renovation of buildings, Applied Energy, Vol. 88, No. 4, pp. 1386--1394, April, 2011.

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Pranava Chaudhari and Santosh K. Gupta. Multiobjective Optimization of a Fixed Bed Maleic Anhydride Reactor Using an Improved Biomimetic Adaptation of NSGA-II, Industrial & Engineering Chemistry Research, Vol. 51, No. 8, pp. 3279--3294, February 29, 2012.

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Narendra C. Chauhan, M. V. Kartikeyan and Ankush Mittal. CAD of RF Windows Using Multiobjective Particle Swarm Optimization, IEEE Transactions on Plasma Science, Vol. 37, No. 6, pp. 1104--1109, June, 2009.

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Daniel A. Chaves, Carmelo J. Bastos-Filho and Joaquim F. Martins-Filho. Multiobjective Physical Topology Design of All-Optical Networks Considering QoS and Capex, in National Fiber Optic Engineers Conference (NFOEC), pp. 1--3, Optical Society of America, San Diego, California, USA, March 21-25, 2010.

J.M. Chaves-González and M.A. Vega-Rodríguez. DNA Sequence Design for Reliable DNA Computing by Using a Multiobjective Approach, in A. Szakal (editor), 13th IEEE International Symposium on Computational Intelligence and Informatics (CINTI 2012), pp. 73--78, IEEE Press, Budapest, Hungary, November 20-22, 2012, ISBN 978-1-4673-5206-2.

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Jose M. Chaves-Gonzalez and Miguel A. Vega-Rodriguez. A multiobjective approach based on the behavior of fireflies to generate reliable DNA sequences for molecular computing, Applied Mathematics and Computation, Vol. 227, pp. 291--308, January 15, 2014.

Z. H. Che and H. S. Wang. Supplier selection and supply quantity allocation of common and non-common parts with multiple criteria under multiple products, in Computers & Industrial Engineering, Vol. 55, No. 1, pp. 110--133, June 1, 2008.

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S. Chedly, A. Chettah and M. N. Ichchou. Multiobjective Optimization of Molded LDPE Foams Characteristics Using Genetic Algorithm, Journal of Applied Polymer Science, Vol. 114, No. 1, pp. 358--368, October 5, 2009.

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Yan Chen, Masakuni Narita, Masashi Tsuji and Sangduk Sa. A Genetic Algorithm Approach to Optimization for the Radiological Worker Allocation Problem. Health Physics, 70(2):180-186, February 1996.

Kay Chen Tan and Yun Li. Multi-Objective Genetic Algorithm Based Time and Frequency Domain Design Unification of Linear Control Systems, Technical Report CSC-97007, Department of Electronics and Electrical Engineering, University of Glasglow, Glasglow, Scotland, 1997.

Kay Chen Tan and Yun Li. Multi-Objective Genetic Algorithm Based Time and Frequency Domain Design Unification of Linear Control Systems. In Proceedings of the IFAC/IEEE International Symposium on Artificial Intelligence in Real-Time Control, pages 61-66, Kuala Lumpur, Malaysia, September 1997.

M. W. Chen and A. M. S. Zalzala. A genetic approach to motion planning of redundant mobile manipulator systems considering safety and configuration, Journal of Robotic Systems, Vol. 14, No. 7, pp. 529--544, July, 1997.

H. W. Chen and Ni-Bin Chang. Water pollution control in the river basin by fuzzy genetic algorithm-based multiobjective programming modeling. Water Science and Technology, 37(8):55-63, 1998.

Yun-Wen Chen and Gwo-Hshiung Tzeng. A Fuzzy Multi-objective Model for Reconstructing the Post-quake Road-network by Genetic Algorithm, International Journal of Fuzzy Systems, Vol. 1, No. 2, pp. 85--95, December 1999.

Xianming Chen. Pareto Tree Searching Genetic Algorithm: Approaching Pareto Optimal Front by Searching Pareto Optimal Tree. Technical Report NK-CS-2001-002, Department of Computer Science, Nankai University, Tianjin, China, 2001

Jian-Hung Chen and Shinn-Ying Ho. Multi-Objective Optimization of Flexible Manufacturing Systems, in Lee Spector, Erik D. Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max. H. Garzon and Edmund Burke (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2001), p. 1260--1267, Morgan Kaufmann Publishers, San Francisco, California, July 2001.

W. C. Chen, N. B. Chang and W. K. Shieh. Advanced hybrid fuzzy-neural controller for industrial wastewater treatment, Journal of Environmental Engineering-ASCE, Vol. 127, No. 11, pp. 1048--1059, November 2001.

Jian-Hung Chen, David E. Goldberg, Shinn-Ying Ho and Kumara Sastry. Fitness Inheritance in Multi-Objective Optimization, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 319--326, Morgan Kaufmann Publishers, San Francisco, California, July 2002.

Anthony Chen, Piya Chootinan and Surachet Pravinvongvuth. An Evolutionary Approach for Finding Optimal Automatic Vehicle Identification Reader Locations in Transportation Networks, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 181--187, Portland, Oregon, USA, June 2004.

Jian-Hung Chen. Theory and Applications of Efficient Multi-Objective Evolutionary Algorithms, PhD thesis, College of Information and Electrical Engineering of the Feng Chia University, Taichung, Taiwan, R.O.C., 2004 (abstract).

Jian-Hung Chen, Hung-Ming Chen and Shinn-Ying Ho. Design of Nearest Neighbor Classifiers Using an Intelligent Multi-objective Evolutionary Algorithm, in Chengqi Zhang, Hans W. Guesgen and Wai K. Yeap (editors), PRICAI 2004: Trends in Artificial Intelligence. 8th Pacific Rim International Conference on Artificial Intelligence, pp. 262--271, Springer-Verlag. Lecture Notes in Artificial Intelligence Vol. 3157, Auckland, New Zealand, August, 2004.

Qian Chen and Sheng-Uei Guan. Incremental Multiple Objective Genetic Algorithms, IEEE Transactions on Systems, Man and Cybernetics---Part B: Cybernetics, Vol. 34, No. 3, pp. 1325--1334, June 2004.

J.H. Chen, H.M. Chen and S.Y. Ho. Design of nearest neighbor classifiers: multi-objective approach, International Journal of Approximate Reasoning, Vol. 40, Nos. 1--2, pp. 3--22, July 2005.

Jian-Hung Chen, Shinn-Ying Ho and David E. Goldberg. Quality-Time Analysis of Multi-Objective Evolutionary Algorithms, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 1455--1462, Vol. 2, ACM Press, New York, USA, June 2005.

Enhong Chen and Feng Wang. Dynamic Clustering Using Multi-objective Evolutionary Algorithm, in Yue Hao et al. (editors), Computational Intelligence and Security. International Conference, CIS 2005, pp. 73--80, Springer, Lecture Notes in Artificial Intelligence Vol. 3801, Xi'an, China, December 2005.

D. Chen, J.A. Quirein, H.D. Smith, S. Hamid and J. Grable. Neural network ensemble selection using a multi-objective genetic algorithm in processing pulsed neutron data, Petrophysics, Vol. 46, No. 5, pp. 323--334, October 2005.

H.W. Chen and N.B. Chang. Decision support for allocation of watershed pollution load using grey fuzzy multiobjective programming, Journal of the American Water Resources Association, Vol. 42, No. 3, pp. 725--745, June 2006.

Jun Chen and Mahdi Mahfouf. A population adaptive based immune algorithm for solving multi-objective optimization problems, in Hughes Bersini and Jorge Carneiro (editors), Artificial Immune Systems, 5th International Conference, ICARIS 2006, Proceedings, pp. 280--293, Springer-Verlag, Lecture Notes in Computer Science Vol. 4163, Oeiras, Portugal, September 2006.

Huanhuan Chen and Xin Yao. Evolutionary Multiobjective Ensemble Learning Based on Bayesian Feature Selection, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 971--978, IEEE, Vancouver, BC, Canada, July 2006.

Anthony Chen, Kitti Subprasom and Zhaowang Ji. A simulation-based multi-objective genetic algorithm (SMOGA) procedure for BOT network design problem, Optimization and Engineering, Vol. 7, No. 3, pp. 225-247, September 2006.

Jian-Hung Chen. Simultaneous Optimization of Production Planning and Inspection Planning for Flexible Manufacturing Systems, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO'2007), pp. 1928--1935, Vol. 2, ACM Press, London, UK, July 2007.

Yi Chen and Matthew P. Cartmell. Multi-Objective Optimisation on Motorised Momentum Exchange Tether for Playload Orbital Transfer, 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 987--993, IEEE Press, Singapore, September 2007.

Min-Rong Chen, Yong-zai Lu and Gen-ke Yang. Multiobjective extremal optimization with applications to engineering design, Journal of Zhejiang University SCIENCE A, Vol. 8, No. 12, pp. 1905--1911, November 2007.

Juan Chen, Lihong Xu and Changliang Yuan. IPGA Based Multi-Objective Compatible Control Algorithm and its Application in Oversaturated Adjacent Intersection Control, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 3187--3194, IEEE Press, Singapore, September 2007.

Ho-Wen Chen, Shu-Kuang Ning, Ruey-Fang Yu and Ming-Sung Hung. Optimizing the monitoring strategy of wastewater treatment plants by multiobjective neural networks approach, Environmental Monitoring and Assessment, Vol. 125, Nos. 1-3, pp. 325--332, February 2007.

Min-Rong Chen and Yong-Zal Lu. A novel elitist multiobjective optimization algorithm: Multiobjective extremal optimization, European Journal of Operational Research, Vol. 188, No. 3, pp. 637--651, August 1, 2008.

Min-Rong Chen, Yong-Zai Lu and Genke Yang. Multiobjective optimization using population-based extremal optimization, Neural Computing & Applications, Vol. 17, No. 2, pp. 101--109, March 2008.

Wang Chen, Yan-jun Shi and Hong-fei Teng. A Generalized Differential Evolution Combined with EDA for Multi-objective Optimization Problems, in De-Shuang Huang, Donald C. Wunsch II, Daniel S. Levine, and Kang-Hyun Jo (editors), Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 4th International Conference on Intelligent Computing (ICIC'2008), pp. 140--147, Springer, Lecture Notes in Computer Science, Vol. 5227, Shanghai, China, September 15-18, 2008. ISBN 978-3-540-85983-3.

Liang-Hsuan Chen and Cheng-Hsiung Chiang. Multi-Objective Optimization in Reliability System Using Genetic Algorithm and Neural Network, Asia-Pacific Journal of Operational Research, Vol. 25, No. 5, pp. 649--672, October 2008.

Jianyong Chen, Qiuzhen Lin and Qingbin Hu. A Novel Clonal Algorithm for Multiobjective Optimization, in 2008 International Workshop on Education Technology and Training & 2008 International Workshop on Geoscience and Remote Sensing, pp. 613--616, IEEE Computer Society, Shanghai, China, December 21-22, 2008.

Huanhuan Chen. Diversity and Regularization in Neural Network Ensembles, PhD thesis, School of Computer Science, University of Birmingham, UK, October 2008 (abstract).

Chun-Hao Chen, Tzung-Pei Hong, V.S. Tseng and Lien-Chin Chen. A multi-objective genetic-fuzzy mining algorithm, in 2008 IEEE International Conference on Granular Computing, pp. 115--120, IEEE Press, Hangzhou, China, August 2008.

T.Y. Chen and H.C. Chen. Mixed-discrete structural optimization using a rank-niche evolution strategy, Engineering Optimization, Vol. 41, No. 1, pp. 39--58, January 2009.

Yidong Chen, Xiaodong Shi, Changle Zhou and Qingyang Hong. A word alignment model based on multiobjective evolutionary algorithms, Computers & Mathematics with Applications, Vol. 57, No. 11-12, pp. 1724--1729, June 2009.

S. L. Chen, R. J. Jiao and M. M. Tseng. Evolutionary product line design balancing customer needs and product commonality, CIRP Annals-Manufacturing Technology, Vol. 58, No. 1, pp. 123--126, 2009.

Chih-Ming Chen, Ying-ping Chen and Qingfu Zhang. Enhancing MOEA/D with Guided Mutation and Priority Update for Multi-Objective Optimization, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 209--216, IEEE Press, Trondheim, Norway, May 2009.

Jian Chen, Jie Jia, Yingyou Wen, Dazhe zhao and Jiren Liu. A Genetic Approach to Channel Assignment for Multi-radio Multi-channel Wireless Mesh Networks, in 2009 ACM SIGEVO Summit on Genetic and Evolutionary Computation (GEC'2009), pp. 39-46, ACM Press, Shanghai, China, June 12-14 2009. ISBN 978-1-60558-326-6.

Jian Chen, Jie Jia, Yingyou Wen, Dazhe zhao and Jiren Liu. Modeling and Extending Lifetime of Wireless Sensor Networks Using Genetic Algorithm, in 2009 ACM SIGEVO Summit on Genetic and Evolutionary Computation (GEC'2009), pp. 47-54, ACM Press, Shanghai, China, June 12-14 2009. ISBN 978-1-60558-326-6.

Qiong Chen, Shengwu Xiong and Hongbing Liu. Evolutionary Multi-objective Optimization Algorithm Based on Global Crowding Diversity Maintenance Strategy, in 2009 ACM SIGEVO Summit on Genetic and Evolutionary Computation (GEC'2009), pp. 803-806, ACM Press, Shanghai, China, June 12-14 2009. ISBN 978-1-60558-326-6.

Stephen Chen. Locust Swarms — A New Multi-Optima Search Technique, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 1745--1752, IEEE Press, Trondheim, Norway, May, 2009.

Jie Chen, Bin Xin, Zhihong Peng, Lihua Dou and Juan Zhang. Optimal Contraction Theorem for Exploration-Exploitation Tradeoff in Search and Optimization, IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans, Vol. 39, No. 3, pp. 680--691, May, 2009.

Jinzhu Chen, Guolong Chen and Wenzhong Guo. A Discrete PSO for Multi-objective Optimization in VLSI Floorplanning. in Zhihua Cai, Zhenhua Li, Zhuo Khang, and Yong Liu, (editors), Advances in Computation and Intelligence, 4th International Symposium, ISCA 2009, pp. 400-410, Springer, Lecture Notes in Computer Science Vol. 5821, Huangshi, China, October, 2009.

Hao Chen, John A. Clark, Juan E. Tapiador, Siraj A. Shaikh, Howard Chivers and Philip Nobles. A Multi-objective Optimisation Approach to IDS Sensor Placement, in A. Herrero, P. Gastaldo, R. Zunino and E. Corchado (editors), Computational Intelligence in Security for Information Systems, pp. 101--108, Springer, Burgos, Spain, September 23-26, 2009, ISBN 978-3-642-04090-0.

Anthony Chen, Juyoung Kim abd Seunglae Lee and Youngchan Kim. Stochastic multi-objective models for network design problem, Expert Systems with Applications, Vol. 37, No. 2, pp. 1608-1619, March, 2010.

Jianyong Chen, Qiuzhen Lin and Zhen Ji. A hybrid immune multiobjective optimization algorithm, European Journal of Operational Research, Vol. 204, No. 2, pp. 294--302, July 16, 2010.

Yee Ming Chen and Wen-Shiang Wang. Environmentally constrained economic dispatch using Pareto archive particle swarm, International Journal of Systems Science, Vol. 41, No. 5, pp. 593--605, 2010.

Jing Chen, Yan Lin, Jun Zhou Huo, Ming Xia Zhang and Zhuo Shang Ji. Optimization of ship's subdivision arrangement for offshore sequential ballast water exchange using a non-dominated sorting genetic algorithm, Ocean Engineering, Vol. 37, No. 11-12, pp. 978-988, August, 2010.

Jing Chen, Yan Lin, Jun Zhou Huo, Ming Xia Zhang and Zhuo Shang Ji. Optimal ballast water exchange sequence design using symmetrical multitank strategy, Journal of Marine Science and Technology, Vol. 15, No. 3, pp. 280-293, September, 2010.

Jianyong Chen, Qiuzhen Lin and Qingbin Hu. Application of Novel Clonal Algorithm in Multiobjective Optimization, International Journal of Information Technology & Decision Making, Vol. 9, No. 2, pp. 239--266, March 2010.

Chiu-Hung Chen, Ta-Yuan Chou, Tung-Kuan Liu, Jyh-Horng Chou and Chung-Nan Lee. Optimization of Short-Haul Airline Crew Pairing Problems Using a Multiobjective Genetic Algorithm, International Journal of Innovative Computing Information and Control, Vol. 6, No. 9, pp. 3943--3959, September 2010.

Jing Chen, Yan Lin, Junzhou Huo, Mingxia Zhang and Zhuoshang Ji. Optimization of Ships' Diagonal Ballast Water Exchange Sequence Using a Multiobjective Genetic Algorithm, Journal of Ship Research, Vol. 54, No. 4, pp. 257--267, December, 2010.

Chun-Hao Chen and Tzung-Pei Hong and V.S. Tseng. A SPEA2-based genetic-fuzzy mining algorithm, in 2010 IEEE International Conference on Fuzzy Systems, pp. 1--5, IEEE Press, Barcelona, Spain, July, 2010.

Chih-Ming Chen, Ying-ping Chen, Tzu-Ching Shen and John K. Zao. Optimizing degree distributions in LT codes by using the multiobjective evolutionary algorithm based on decomposition, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 3635--3642, IEEE Press, Barcelona, Spain, July 18--23, 2010.

Hao Chen, John A. Clark, Siraj A. Shaikh, Howard Chivers and Philip Nobles. Optimising IDS Sensor Placement, in Fifth International Conference on Availability, Reliability and Security (ARES'2010), pp. 315--320, IEEE Computer Society Press, Krakow, Poland, 15-18 February 2010.

Huanhuan Chen and Xin Yao. Multiobjective Neural Network Ensembles Based on Regularized Negative Correlation Learning, IEEE Transactions on Knowledge and Data Engineering, Vol. 22, No. 12, pp. 1738--1751, December 2010

Yun Chen and Hanhong Zhu. PSO Heuristics Algorithm for Portfolio Optimization, in Ying Tan, Yuhui Shi and Kay Chen Tan (editors), Advances in Swarm Intelligence, First International Conference, ICSI 2010, pp. 183--190, Springer. Lecture Notes in Computer Science Vol. 6145, Beijing, China, June 12-15, 2010.

Yen-Liang Chen and Xiang-Han Chen. An evolutionary PageRank approach for journal ranking with expert judgements, Journal of Information Science, Vol. 37, No. 3, pp. 254--272, June 2011 .

Yu Chen, Xiufen Zou and Weicheng Xie. Convergence of multi-objective evolutionary algorithms to a uniformly distributed representation of the Pareto front, Information Sciences, Vol. 181, No. 16, pp. 3336--3355, August 15, 2011 .

Jianyong Chen, Qiuzhen Lin and Zhen Ji. Chaos-based multi-objective immune algorithm with a fine-grained selection mechanism, Soft Computing, Vol. 15, No. 7, pp. 1273--1288, July 2011.

Yi Chen, Yong Ma, Zheng Lu, Lixia Qiu and Jin He. Terahertz spectroscopic uncertainty analysis for explosive mixture components determination using multi-objective micro-genetic algorithm, Advances in Engineering Software, Vol. 42, No. 9, pp. 649--659, September, 2011.

Stephen Chen and James Montgomery. Selection Strategies for Initial Positions and Initial Velocities in Multi-Optima Particle Swarms, in 2011 Genetic and Evolutionary Computation Conference (GECCO'2011), pp. 53--60, ACM Press, Dublin, Ireland, July 12-16, 2011.

De-bao Chen, Feng Zou and Jiang-tao Wang. A multi-objective endocrine PSO algorithm and application, Applied Soft Computing, Vol. 11, No. 8, pp. 4508--4520, December 2011.

Shih-Pin Chen and Ming-Jiun Tsai. Time-cost trade-off analysis of project networks in fuzzy environments, European Journal of Operational Research, Vol. 212, No. 2, pp. 386--397, July 16, 2011.

Stephen Chen and James Montgomery. A Simple Strategy to Maintain Diversity and Reduce Crowding in Particle Swarm Optimization, in Dianhui Wang and Mark Reynolds (editors), AI 2011: Advances in Artificial Intelligence, 24th Australasian Joint Conference, pp. 281--290, Springer. Lecture Notes in Artificial Intelligence Vol. 7106, Perth, Australia, December 5-8, 2011.

Chun-Ta Chen and Pham Hoang-Vuong. Trajectory planning in parallel kinematic manipulators using a constrained multi-objective evolutionary algorithm, Nonlinear Dynamics, Vol. 67, No. 2, pp. 1669--1681, January 2012.

Wei-Mei Chen, Hsien-Kuei Hwang and Tsung-Hsi Tsai. Maxima-finding algorithms for multidimensional samples: A two-phase approach, Computational Geometry-Theory and Applications, Vol. 45, No. 1 - 2, pp. 33--53, January-February, 2012.

Chiu-Hung Chen, Tung-Kuan Liu, I-Ming Huang and Jyh-Horng Chou. Multiobjective Synthesis of Six-bar Mechanisms Under Manufacturing and Collision-free Constraints, IEEE Computational Intelligence Magazine, Vol. 7, No. 1, pp. 36--48, February, 2012.

Yikai Chen, Shiwen Yang and Zaiping Nie. Improving conflicting specifications of time-modulated antenna arrays by using a multiobjective evolutionary algorithm, International Journal of Numerical Modelling-Electronic Networks Devices and Fields, Vol. 25, No. 3, pp. 205--215, May-June, 2012.

Wei-Neng Chen and Jun Zhang. A Preference-Based Bi-Objective Approach to the Payment Scheduling Negotiation Problem with the Extended r-Dominance and NSGA-II, in 2012 Genetic and Evolutionary Computation Conference (GECCO'2012), pp. 1063--1070, ACM Press, Philadelphia, USA, July 2012, ISBN: 978-1-4503-1177-9.

Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng and Lien-Chin Chen. Multi-Objective Genetic-Fuzzy Data Mining, International Journal of Innovative Computing Information and Control, Vol. 8, No. 10A, pp. 6551--6568, October 2012.

Angela H. L. Chen, Yun-Chia Liang and Chia-Chien Liu. An artificial bee colony algorithm for the cardinality-constrained portfolio optimization problems, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 2902--2909, IEEE Press, Brisbane, Australia, June 10-15, 2012.

Guodong Chena, Xu Han, Guiping Liu, Chao Jiang and Ziheng Zhao. An efficient multi-objective optimization method for black-box functions using sequential approximate technique, Applied Soft Computing, Vol. 12, No. 1, pp. 14--27, January 2012.

Chun-Hao Chen, Tzung-Pei Hong and Vincent S. Tseng. Finding Pareto-front Membership Functions in Fuzzy Data Mining, International Journal of Computational Intelligence Systems, Vol. 5, No. 2, pp. 343--354, April 2012.

Xiaomin Chen and Ramesh K. Agarwal. Optimization of Wind Turbine Blade Airfoils Using a Multi-Objective Genetic Algorithm, Journal of Aircraft, Vol. 50, No. 2, pp. 519--527, March-April 2013.

Jiajia Chen, Yongsheng Ding, Yaochu Jin and Kuangrong Hao. A Synergetic Immune Clonal Selection Algorithm Based Multi-Objective Optimization Method for Carbon Fiber Drawing Process, Fibers and Polymers, Vol. 14, No. 10, pp. 1722--1730, October 2013.

Shahar Chen, David Amid, Ofer M. Shir, Lior Limonad, David Boaz, Ateret Anaby-Tavor and Tobias Schreck. Self-Organizing Maps for Multi-Objective Pareto Frontiers, in S. Carpendale, W. Chen and S. Hong (editors), 2013 IEEE Symposium on Pacific Visualization (PACIFICVIS), pp. 153--160, IEEE, Sydney, Australia, February 27-March 0, 2013, ISBN 978-1-4673-4797-6.

Yu Chen and Xiufen Zou. Runtime analysis of a multi-objective evolutionary algorithm for obtaining finite approximations of Pareto fronts, Information Sciences, Vol. 262, pp. 62--77, March 20, 2014.

Hanning Chen, Ma Lian Bo and Yunlong Zhu. Multi-hive bee foraging algorithm for multi-objective optimal power flow considering the cost, loss, and emission, International Journal of Electrical Power & Energy Systems, Vol. 60, pp. 203--220, September 2014.

Shao-Wen Chen and Tsung-Che Chiang. Evolutionary Many-objective Optimization by MO-NSGA-II with Enhanced Mating Selection, in 2014 IEEE Congress on Evolutionary Computation (CEC'2014), pp. 1397--1404, IEEE Press, Beijing, China, 6-11 July 2014, ISBN 978-1-4799-1488-3.

Gary Yu-Hsin Chen and Ju-Chieh Lo. Dynamic Facility Layout with Multi-Objectives, Asia-Pacific Journal of Operational Research, Vol. 31, No. 4, Article Number: 1450027, August 2014.

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Carlos A. Coello Coello, Alan D. Christiansen and Arturo Hernández Aguirre. Use of Genetic Algorithms for Multiobjective Optimization of Counterweight Balancing of Robot Arms, In Jacob J. G. Chen, editor, EXPERSYS-95 Expert Systems Applications and Artificial Intelligence, pages 243-248, San Francisco, California, November 1995. I.I.T.T. International, Technology Transfer Series.

Carlos Artemio Coello Coello. An Empirical Study of Evolutionary Techniques for Multiobjective Optimization in Engineering Design. PhD thesis, Department of Computer Science, Tulane University, New Orleans, Louisiana, USA, April 1996 (abstract).

Carlos A. Coello Coello, Alan D. Christiansen and Arturo Hernández Aguirre. Using a New GA-Based Multiobjective Optimization Technique for the Design of Robot Arms, Robotica, Vol. 16, No. 4, pp. 401--414, July-August 1998.

Carlos A. Coello Coello and Alan D. Christiansen. Two New GA-based methods for multiobjective optimization, Civil Engineering Systems, Vol. 15, No. 3, pp. 207--243, 1998.

Carlos A. Coello Coello. An Updated Survey of GA-Based Multiobjective Optimization Techniques, Technical Report Lania-RD-98-08, Laboratorio Nacional de Informática Avanzada (LANIA), Xalapa, Veracruz, México, December 1998.

Carlos A. Coello Coello. Using a Min-Max Method to solve Multiobjective Optimization Problems with Genetic Algorithms. In IBERAMIA'98. Lecture Notes in Computer Science, pp. 303--314, Lisbon, Portugal, October 1998. Springer-Verlag.

Carlos A. Coello Coello. A Comprehensive Survey of Evolutionary-Based Multiobjective Optimization Techniques, Knowledge and Information Systems. An International Journal, Vol. 1, No. 3, pp. 269--308, August 1999.

Carlos A. Coello Coello and Alan D. Christiansen. MOSES: A Multiobjective Optimization Tool for Engineering Design, Engineering Optimization, Vol. 31, No. 3, pp. 337--368, 1999.

Carlos A. Coello Coello. An Updated Survey of Evolutionary Multiobjective Optimization Techniques : State of the Art and Future Trends, In 1999 Congress on Evolutionary Computation, pp. 3--13, Vol. 1, Washington, D.C., July 1999. IEEE Service Center.

Carlos A. Coello Coello. Constraint handling through a multiobjective optimization technique, In Annie S. Wu, editor, Proceedings of the 1999 Genetic and Evolutionary Computation Conference. Workshop Program, pp. 117--118, Orlando, Florida, July 1999.

Carlos A. Coello Coello. Treating Constraints as Objectives for Single-Objective Evolutionary Optimization, Engineering Optimization, Vol. 32, No. 3, pp. 275--308, 2000.

Carlos A. Coello Coello and Alan D. Christiansen. Multiobjective optimization of trusses using genetic algorithms, Computers and Structures, Vol. 75, No. 6, pp. 647--660, May 2000.

Carlos A. Coello Coello. Handling Preferences in Evolutionary Multiobjective Optimization: A Survey, In 2000 IEEE Congress on Evolutionary Computation, volume 1, pp. 30--37, Piscataway, New Jersey, USA, July 2000. IEEE Service Center.

Carlos A. Coello Coello. Constraint-handling using an evolutionary multiobjective optimization technique,Civil Engineering and Environmental Systems, Vol. 17, pp. 319--346, 2000.

Carlos A. Coello Coello, Arturo Hernández Aguirre and Bill P. Buckles. Evolutionary Multiobjective Design of Combinational Logic Circuits, In Jason Lohn, Adrian Stoica, Didier Keymeulen and Silvano Colombano, editors, Proceedings of the Second NASA/DoD Workshop on Evolvable Hardware, pages 161-170, Los Alamitos, California, July 2000. IEEE Computer Society.

Carlos A. Coello Coello. An Updated Survey of GA-Based Multiobjective Optimization Techniques. ACM Computing Surveys, Vol. 32, No. 2, pp. 109--143, June 2000.

Carlos A. Coello Coello and Gregorio Toscano. A Micro-Genetic Algorithm for Multiobjective Optimization. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pp. 126--140. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001.

Carlos A. Coello Coello. A Short Tutorial on Evolutionary Multiobjective Optimization. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 21-40. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001

Carlos A. Coello Coello and Gregorio Toscano Pulido.Multiobjective Optimization using a Micro-Genetic Algorithm, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 274--282, Morgan Kaufmann Publishers, San Francisco, California, July 2001.

Carlos A. Coello Coello, David A. Van Veldhuizen and Gary B. Lamont, Evolutionary Algorithms for Solving Multi-Objective Problems, Kluwer Academic Publishers, New York, March 2002, ISBN 0-3064-6762-3.

Carlos A. Coello Coello. Evolutionary Multi-Objective Optimization: A Critical Review, in Ruhul Sarker, Masoud Mohammadian and Xin Yao (eds), Evolutionary Optimization, pp. 117--146, Kluwer Academic Publishers, New York, February 2002, ISBN 0-7923-7654-4.

Carlos A. Coello Coello and Maximino Salazar Lechuga. MOPSO: A Proposal for Multiple Objective Particle Swarm Optimization, in Congress on Evolutionary Computation (CEC'2002), Vol. 2, pp. 1051--1056, IEEE Service Center, Piscataway, New Jersey, May 2002.

Carlos A. Coello Coello and Carlos E. Mariano Romero. Evolutionary Algorithms and Multiple Objective Optimization, in Matthias Ehrgott and Xavier Gandibleux (editors), Multiple Criteria Optimization: State of the Art Annotated Bibliographic Surveys, pp. 277--331, Kluwer Academic Publishers, Boston, 2002.

Carlos A. Coello Coello and Nareli Cruz Cortés. An Approach to Solve Multiobjective Optimization Problems Based on an Artificial Immune System, in Jonathan Timmis and Peter J. Bentley (editors), First International Conference on Artificial Immune Systems (ICARIS'2002), pp. 212--221, University of Kent at Canterbury, Inglaterra, ISBN 1-902671-32-5, September 2002.

Carlos A. Coello Coello and Arturo Hernández Aguirre. Design of Combinational Logic Circuits through an Evolutionary Multiobjective Optimization Approach, Artificial Intelligence for Engineering, Design, Analysis and Manufacture, Cambridge University Press, Vol. 16, No. 1, pp. 39--53, January 2002.

Carlos A. Coello Coello and Ricardo Landa Becerra. Evolutionary Multiobjective Optimization using a Cultural Algorithm, in 2003 IEEE Swarm Intelligence Symposium Proceedings, IEEE Service Center, pp. 6--13, Indianapolis, Indiana, USA, April 2003.

C. A. Coello Coello, G. Toscano Pulido and A. Hernández Aguirre. Multi-Objective Evolutionary Algorithms for Structural Optimization, in K.J. Bathe (editor), Computational Fluid and Solid Mechanics 2003. Proceedings of the Second MIT Conference on Computational Fluid and Solid Mechanics, Vol. 2, pp. 2244--2248, Elsevier, The Netherlands, June 2003.

Carlos A. Coello Coello and Margarita Reyes Sierra. A Coevolutionary Multi-Objective Evolutionary Algorithm, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 1, pp. 482--489, IEEE Press, Canberra, Australia, December 2003.

Carlos A. Coello Coello.Evolutionary Multiobjective Optimization: Current and Future Challenges, in Jose Benitez, Oscar Cordon, Frank Hoffmann and Rajkumar Roy (editors), Advances in Soft Computing---Engineering, Design and Manufacturing, pp. 243--256, Springer-Verlag, ISBN 1-85233-755-9, September 2003.

Carlos A. Coello Coello, Gregorio Toscano Pulido and Maximino Salazar Lechuga. Handling Multiple Objectives With Particle Swarm Optimization, IEEE Transactions on Evolutionary Computation, Vol. 8, No. 3, pp. 256--279, June 2004.

Carlos A. Coello Coello and Margarita Reyes Sierra. A Study of the Parallelization of a Coevolutionary Multi-Objective Evolutionary Algorithm, in Raúl Monroy, Gustavo Arroyo-Figueroa, Luis Enrique Sucar and Humberto Sossa (eds), Proceedings of the Third Mexican International Conference on Artificial Intelligence (MICAI'2004), pp. 688--697, Springer Verlag, Lecture Notes in Artificial Intelligence Vol. 2972, April 2004.

Carlos A. Coello Coello and Gary B. Lamont (editors). Applications of Multi-Objective Evolutionary Algorithms, World Scientific, Singapore, 2004, ISBN 981-256-106-4.

Carlos A. Coello Coello and Gary B. Lamont. An Introduction to Multi-Objective Evolutionary Algorithms and Their Applications, in Carlos A. Coello Coello and Gary B. Lamont (editors), Applications of Multi-Objective Evolutionary Algorithms, pp. 1--28, World Scientific, Singapore, 2004.

Carlos A. Coello Coello. Recent Trends in Evolutionary Multiobjective Optimization, in Ajith Abraham, Lakhmi Jain and Robert Goldberg (editors), Evolutionary Multiobjective Optimization: Theoretical Advances And Applications, pp. 7--32, Springer-Verlag, London, ISBN 1-85233-787-7, 2005.

Carlos A. Coello Coello, Gregorio Toscano Pulido and Efrén Mezura Montes. Current and Future Research Trends in Evolutionary Multiobjective Optimization, in Manuel Graña, Richard Duro, Alicia d'Anjou and Paul P. Wang (editors), Information Processing with Evolutionary Algorithms: From Industrial Applications to Academic Speculations, pp. 213--231, Springer-Verlag, ISBN 1-8523-3866-0, 2005.

Carlos A. Coello Coello and Nareli Cruz Cortés. Solving Multiobjective Optimization Problems using an Artificial Immune System, Genetic Programming and Evolvable Machines, Vol. 6, No. 2, pp. 163--190, June 2005.

Carlos A. Coello Coello and Gregorio Toscano Pulido. Multiobjective Structural Optimization using a Micro-Genetic Algorithm, Structural and Multidisciplinary Optimization, Vol. 30, No. 5, pp. 388--403, November 2005.

Carlos A. Coello Coello. The EMOO repository: a resource for doing research in evolutionary multiobjective optimization, IEEE Computational Intelligence Magazine, Vol. 1, No. 1, pp. 37--45, February 2006.

Carlos A. Coello Coello. Evolutionary Multiobjective Optimization: A Historical View of the Field, IEEE Computational Intelligence Magazine, Vol. 1, No. 1, pp. 28--36, February 2006.

Carlos A. Coello Coello, 20 Years of Evolutionary Multi-Objective Optimization: What Has Been Done and What Remains to be Done, in Gary Y. Yen and David B. Fogel (editors), Computational Intelligence: Principles and Practice, Chapter 4, pp. 73--88, IEEE Computational Intelligence Society, 2006.

Carlos A. Coello Coello, Evolutionary Multi-Objective Optimization in Finance, in Jean-Philippe Rennard (editor), Handbook of Research on Nature Inspired Computing for Economy and Management, pp. 74--88, Vol. I, Idea Group Reference, Hershey, UK, 2006, ISBN 1-59140-984-5.

Carlos A. Coello Coello, Gary B. Lamont and David A. Van Veldhuizen. Evolutionary Algorithms for Solving Multi-Objective Problems, Second Edition, Springer, New York, ISBN 978-0-387-33254-3, September 2007.

Carlos A. Coello Coello and Ricardo Landa Becerra. Evolutionary Multi-Objective Optimization in Materials Science and Engineering, Materials and Manufacturing Processes, Vol. 24, No. 2, pp. 119--129, 2009.

Carlos A. Coello Coello. Evolutionary Multi-Objective Optimization: Some Current Research Trends and Topics that Remain to be Explored<, Frontiers of Computer Science in China, Vol. 3, No. 1, pp. 18--30, 2009.

Carlos Artemio Coello Coello, Satchidananda Dehuri and Susmita Ghosh (editors), Swarm Intelligence for Multi-objective Problems in Data Mining, Springer, Berlin/Heidelberg, 2009, ISBN: 978-3-642-03624-8.

Carlos A. Coello Coello, Clarisse Dhaenens and Laetitia Jourdan (editors), Advances in Multi-Objective Nature Inspired Computing, Springer, Berlin/Heidelberg, 2010, ISBN 978-3-642-11217-1.

Carlos A. Coello Coello, Clarisse Dhaenens and Laetitia Jourdan. Multi-Objective Combinatorial Optimization: Problematic and Context. in Carlos A. Coello Coello, Clarisse Dhaenens, and Laetitia Jourdan, (editors), Advances in Multi-Objective Nature Inspired Computing, chapter 1, pp. 1--21, Springer, Studies in Computational Intelligence, Vol. 272, Berlin, Germany, 2010, ISBN 978-3-642-11217-1.

Carlos A. Coello Coello. A Tutorial on Multi-Objective Optimization using Metaheuristics, in L.M. Esteban, B. Lacruz, F.J. López, P.M. Mateo, A. Pérez-Palomares, G. Sanz and C. Paroissin (editors), The Pyrenees International Workshop and Summer School on Statistics, Probability and Operations Research SPO 2009, pp. 19--38, Monografías Matemáticas "García de Galdeano" No. 36, Universidad de Zaragoza, Spain, December 2010, ISBN 978-84-15031-92-5.

Carlos A. Coello Coello. Fundamentals of Evolutionary Multi-Objective Optimization, in Bogdan M. Wilamowski and J. David Irwin (Editors), Industrial Electronics Handbook. Intelligent Systems, Second Edition, Chapter 25, pp. 25-1--25-11, CRC Press, Boca Raton, Florida, USA, 2011, ISBN 978-1-4398-0283-0 .

Carlos A. Coello Coello. An Introduction to Multi-Objective Particle Swarm Optimizers, in António Gaspar-Cunha, Ricardo Takahashi, Gerald Schaefer and Lino Costa (editors), Soft Computing in Industrial Applications, pp. 3--12, Springer, Advances in Intelligent and Soft Computing Series, Vol. 96, Berlin, 2011, ISBN 978-3-642-20504-0 .

Carlos A. Coello Coello. Evolutionary Multi-Objective Optimization, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Vol. 1, No. 5, pp. 444--447, September/October 2011.

Carlos A. Coello Coello. Evolutionary Multi-Objective Optimization: Basic Concepts and Some Applications in Pattern Recognition, in José Francisco Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa, Cherif Ben-Youssef Brants and Edwin Robert Hancock (Editors), Pattern Recognition, Third Mexican Conference, MCPR 2011, pp. 22--33, Springer, Lecture Notes in Computer Science Vol. 6718, Cancun, México, June/July 2011.

Corrado Coia and Brian J. Ross. Automatic Evolution of Conceptual Building Architectures, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 1140--1147, IEEE Service Center, New Orleans, Louisiana, USA, 5--8 June, 2011.

David A. Coley. Evolving Green Buildings, in Erick Cantú-Paz (editor), 2002 Genetic and Evolutionary Computation Conference. Late-Breaking Papers, pp. 62--68, New York, July 2002.

J. Manuel Colmenar, José L. Risco-Martín, David Atienza and J. Ignacio Hidalgo. Multi-Objective Optimization of Dynamic Memory Managers Using Grammatical Evolution, in 2011 Genetic and Evolutionary Computation Conference (GECCO'2011), pp. 1819--1826, ACM Press, Dublin, Ireland, July 12-16, 2011.

Y. Collette, P. Siarry and H.-I. Wong. Multidimensional Data Representation Aimed at the Interpretation of Results from Multiobjective Optimization, In PPSN/SAB Workshop on Multiobjective Problem Solving from Nature (MPSN), Paris, France, September 2000.

Y. Collette, P. Siarry and H.-I. Wong. A Systematic Comparison of Performance of Various Multiple Objective Metaheuristics Using a Common Set of Analytical Test Functions, Foundations of Computing and Decision Sciences, Vol. 25, No. 4, pp. 249--271, 2000.

Yann Collette and Patrick Siarry. Multiobjective Optimization. Principles and Case Studies, Springer, August 2003.

Y. Collette and P. Siarry. Three new metrics to measure the convergence of metaheuristics towards the Pareto frontier and the aesthetic of a set of solutions in biobjective optimization, Computers & Operations Research, Vol. 32, No. 4, pp. 773--792, April, 2005

Glauber R. Colnago and Paulo B. Correia. Multiobjective dispatch of hydrogenerating units using a two-step genetic algorithm method, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 2554--2560, IEEE Press, Trondheim, Norway, May, 2009.

Gualtiero Colombo and Christine Mumford. Comparing Algorithms, Representations and Operators for the Multi-Objective Knapsack Problem, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 1268--1275, Vol. 2, IEEE Service Center, Edinburgh, Scotland, September 2005.

Gualtiero Colombo and Stuart M. Allen. A Decomposed Approach for the Minimum Interference Frequency Assignment, in Ying-ping Chen and Meng-Hiot Lim (editors), Linkage in Evolutionary Computation, pp. 389--417, Springer-Verlag, Berlin Heidelberg, 2008.

Jr. Remegio B. Confesor and Gerald W. Whittaker. Automatic calibration of hydrologic models with multi-objective evolutionary algorithm and Pareto optimization, Journal of the American Water Resources Association, Vol. 43, No. 4, pp. 981--989, August 2007.

Pietro M. Congedo, Gianluca Geraci, Rémi Abgrall and Gianluca Iaccarino. Multi-objective design optimization using high-order statistics for CFD applications, in David Greiner, Blas Galván, Jacques Périaux, Nicolas Gauger, Kyriakos Giannakoglou and Gabriel Winter (Editors), Evolutionary and Deterministic Methods for Design, Optimization and Control with Applications to Industrial and Societal Problems (EUROGEN 2013), pp. 71--74, Universidad de las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain, October 7-9, 2013, ISBN 978-84-616-6249-4.

S. Conti, R. Nicolosi, S.A. Rizzo and H.H. Zeineldin. Optimal Dispatching of Distributed Generators and Storage Systems for MV Islanded Microgrids , IEEE Transactions on Power Delivery, Vol. 27, No. 3, pp. 1243--1251, July 2012.

Cassio Rodrigo Conti, Mauro Roisenberg, Guenther Schwedersky Neto and Milton Jose Porsani. Fast Seismic Inversion Methods Using Ant Colony Optimization Algorithm, IEEE Geoscience and Remote Sensing Letters, Vol. 10, No. 5, pp. 1119--1123, September 2013.

Robert Cook, Arturo Molina-Cristobal, Geoff Parks, Cuitlahuac Osornio Correa and P. John Clarkson. Multi-objective Optimisation of a Hybrid Electric Vehicle: Drive Train and Driving Strategy, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 330--345, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.

Ian M. Cooper, Matthew P. John, Rhydian Lewis, Christine L. Mumford and Andrew Olden. Optimising Large Scale Public Transport Network Design Problems using Mixed-Mode Parallel Multi-Objective Evolutionary Algorithms, in 2014 IEEE Congress on Evolutionary Computation (CEC'2014), pp. 2841--2848, IEEE Press, Beijing, China, 6-11 July 2014, ISBN 978-1-4799-1488-3.

Yann Cooren, Maurice Clerc and Patrick Siarry. MO-TRIBES, an adaptive multiobjective particle swarm optimization algorithm, Computational Optimization and Applications, Vol. 49, No. 2, pp. 379--400, June, 2011.

Diego Copiello and Giampietro Fabbri. Multi-objective genetic optimization of the heat transfer from longitudinal wavy fins, International Journal of Heat and Mass Transfer, Vol. 52, No. 5-6, pp. 1167--1176, February 2009.

Angel Corberán, Elena Fernández, Manuel Laguna and Rafael Martí. Heuristic Solutions to the Problem of Routing School Buses with Multiple Objectives, Journal of the Operational Research Society, Vol. 53, No. 4, pp. 427--435, 2002.

O. Cordón, F. Herrera, M.J. del Jesus and P. Villar. A Multiobjective Genetic Algorithm for Feature Selection and Granularity Learning in Fuzzy-Rule Based Classification Systems, in Joint 9th IFSA World Congress and 20th NAFIPS International Conference, Vol. 3, pp. 1253--1258, IEEE, 2001.

Oscar Cordón, Enrique Herrera-Viedma and María Luque. Evolutionary Learning of Boolean Queries by Multiobjective Genetic Programming, in Juan Julián Merelo Guervós, Panagiotis Adamidis, Hans-Georg Beyer, José-Luis Fernández-Villacañas and Hans-Paul Schwefel (eds),Parallel Problem Solving from Nature---PPSN VII, pp. 710--719, Springer-Verlag, Lecture Notes in Computer Science No. 2439, Granada, Spain, September 2002.

O. Cordon, E. Herrera-Viedma, M. Luque, F. de Moya and C. Zarco. Analyzing the performance of a multiobjective GA-P algorithm for learning fuzzy queries in a machine learning environment, in T. Bilgic, B. DeBaets and O. Kaynak (editors), Fuzzy Sets and Systems - IFSA 2003, Proceedings, pp. 611--619, Springer, Istanbul, Turkey, June 30-July 02, 2003, ISBN 3-540-40383-30.

O. Cordon, F. de Moya and C. Zarco. Fuzzy logic and multiobjective evolutionary algorithms as soft computing tools for persistent query learning in text retrieval environments, in 2004 IEEE International Conference on Fuzzy Systems, Vols 1-3, Proceedings, pp. 571--576, IEEE, Budapest, Hungary, July 25-29, 2004, ISBN 0-7803-8353-2.

O. Cordon, E. Herrera-Viedma, M. Luque, F. Moya and C. Zarco. A realistic information retrieval environment to validate a multiobjective GA-P algorithm for learning fuzzy queries, in F. Hoffmann, M. Koppen, F. Klawonn and R. Roy (editor), Soft Computing: Methodologies and Applications, pp. 299--309, Springer, Electr Network, September 29-October 10, 2003, ISBN 3-540-25726-8.

O. Cordon, E. Herrera-Viedma and M. Luque. Improving the learning of Boolean queries by means of a multiobjective IQBE evolutionary algorithm, Information Processing & Management, Vol. 42, No. 3, pp. 615--632, May 2006.

Oscar Cordon, Arnaud Quirin and Luciano Sanchez. A first study on bagging fuzzy rule-based classification systems with multicriteria genetic selection of the component classifiers, in 2008 3rd International Workshop on Genetic and Evolving Fuzzy Systems, pp. 9--14, IEEE, Witten Bommerhalz, Germany, March 04-07, 2008, ISBN 978-1-4244-1612-7.

Oscar Cordón and Arnaud Quirin and Rocío Romero-Zaliz. Multiple Ant Colony System for Substructure Discovery, in Marco Dorigo, Mauro Birattari, Gianni A. Di Caro, René Doursat, Andries P. Engelbrecht, Dario Floreano, Luca Maria Gambardella, Roderich Gross, Erol Sahin, Hiroki Sayama and Thomas Stützle, (editors), Swarm Intelligence. 7th International Conference, ANTS 2010, pp. 472--479, Springer, Lecture Notes in Computer Science Vol. 6234, Brussels, Belgium, September 8-10, 2010.

David W. Corne, Joshua D. Knowles and Martin J. Oates. The Pareto Envelope-based Selection Algorithm for Multiobjective Optimization, In Marc Schoenauer, Kalyanmoy Deb, Günter Rudolph, Xin Yao, Evelyne Lutton, J. J. Merelo and Hans-Paul Schwefel (editors), Proceedings of the Parallel Problem Solving from Nature VI Conference, pages 839--848. Springer, 2000

David W. Corne, Nick R. Jerram, Joshua D. Knowles and Martin J. Oates, PESA-II: Region-based Selection in Evolutionary Multiobjective Optimization, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 283--290, Morgan Kaufmann Publishers, San Francisco, California, July 2001.

David W. Corne, Kalyanmoy Deb, Peter J. Fleming and Joshua D. Knowles. The Good of the Many Outweights the Good of the One: Evolutionary Multi-Objective Optimization, Connections. The Newsletter of the IEEE Neural Networks Society, Vol. 1, No. 1, pp. 9--13, February 2003.

David W. Corne and Joshua D. Knowles. No Free Lunch and Free Leftovers Theorems for Multiobjective Optimisation Problems, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 327--341, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.

David Corne and Joshua Knowles. Some Multiobjective Optimizers are Better than Others, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 4, pp. 2506--2512, IEEE Press, Canberra, Australia, December 2003.

David Corne and Joshua Knowles. Techniques for Highly Multiobjective Optimisation: Some Nondominated Points are Better than Others, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 773--780, Vol. 1, ACM Press, London, UK, July 2007.

David Corne, Clarisse Dhaenens and Laetitia Jourdan. Synergies between operations research and data mining: The emerging use of multi-objective approaches, European Journal of Operational Research, Vol. 221, No. 3, pp. 469--479, September 16, 2012.

G. Corral, A. Garcia-Piquer, A. Orriols-Puig, A. Fornells and E. Golobardes. Multiobjective Evolutionary Clustering Approach to Security Vulnerability Assesments, in Emilio Corchado, Xindong Wu, Erkki Oja, Álvaro Herrero and Bruno Baruque (editors), Hybrid Artificial Intelligence Systems, 4th International Conference, HAIS 2009, pp. 597--604, Springer. Lecture Notes in Artificial Intelligence Vol. 5572, Salamanca, Spain, Spain, June 10-12, 2009.

G. Corral, A. Garcia-Piquer, A. Orriols-Puig, A. Fornells and E. Golobardes. Analysis of vulnerability assessment results based on CAOS, Applied Soft Computing, Vol. 11, No. 7, pp. 4321--4331, October, 2011.

Cristian E. Cortes, Doris Saez, Freddy Milla, Alfredo Nunez and Marcela Riquelme. Hybrid predictive control for real-time optimization of public transport systems' operations based on evolutionary multi-objective optimization, Transportation Research Part C-Emerging Technologies, Vol. 18, No. 5, pp. 757--769, October, 2010.

Jazmin Cortez-Gonzalez, Juan Gabriel Segovia-Hernandez, Salvador Hernandez, Claudia Gutierrez-Antonio, Abel Briones-Ramirez and Ben-Guang Rong. Optimal design of distillation systems with less than N-1 columns for a class of four component mixtures, Chemical Engineering Research & Design, Vol. 90, No. 10, pp. 1425--1447, October 2012.

F. Cosmi and B. Reggiani. The optimization of parts within complex assemblies, Proceedings Of The Institution Of Mechanical Engineers Part C-Journal Of Mechanical Engineering Science, Vol. 224, No. C4, pp. 969-979, 2010.

Lino Costa, Pedro Oliveira, Isabel N. Figueiredo and Rogério P. Leal.Compliance Minimization of a Composite Laminated Plate by Genetic Algorithms, In Proceedings of the European Conference on Computational Mechanics---ECCM'99, pp. 740--741, Munich, Germany, 1999.

Lino Costa, Pedro Oliveira, Isabel N. Figueiredo, Luís F. Roseiro and Rogério P. Leal.Structural Optimization of Laminated Plates with Genetic Algorithms, In Darrell Whitley, David Goldberg, Erick Cantú-Paz, Lee Spector, Ian Parmee and Hans-Georg Beyer, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2000), pages 621--627, San Francisco, California, 2000. Morgan Kaufmann.

Lino Costa and Pedro Oliveira. Evolutionary Algorithms Approach to the Solution of Mixed Integer Non-Linear Programming Problems, Computers & Chemical Engineering, Vol. 25, pp. 257-266, 2001.

Lino Costa and Pedro Oliveira. An Elitist Genetic Algorithm for Multiobjective Optimization, in Jorge Pinho de Sousa (Editor), Proceedings of the 4th Metaheuristics International Conference---MIC 2001, pp. 205--209, Porto, Portugal, Program Operational Ciencia, Tecnologia, Inovaçao do Quadro Comunitário de Apoio III de Fundaçao para a Ciencia e Tecnologia, July 2001.

Lino Costa and Pedro Oliveira. An Evolution Strategy for Multiobjective Optimization, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 97--102, IEEE Service Center, Piscataway, New Jersey, May 2002.

Mario Costa and Edmondo Minisci. MOPED: A Multi-objective Parzen-Based Estimation of Distribution Algorithm for Continuous Problems, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 252--266, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.

Lino Costa and Pedro Oliveira. An Adaptive Sharing Elitist Evolution Strategy for Multiobjective Optimization, Evolutionary Computation, Vol. 11, No. 4, pp. 417--438, Winter 2003.

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Dilip Datta and Kalyanmoy Deb. Design of optimum cross-sections for load carrying members using multi-objective evolutionary algorithms, Journal of Systemics, Cybernetics and Informatics, Vol. 1, pp. 57--63, January 2006.

Dilip Datta. Multi-Objective Evolutionary Algorithms for Resource Allocation Problems, PhD thesis, Department of Mechanical Engineering, Indian Institute of Technology Kanpur, India, July 2006 (abstract).

Shubhabrata Datta, Frank Pettersson, Subhas Ganguly, Henrik Saxén and Niruopam Chakraborti. Designing High Strength Multi-phase Steel for Improved Strength-Ductility Balance Using Neural Networks and Multi-objective Genetic Algorithms, ISIJ International, Vol. 47, No. 8, pp. 1195--1203, 2007.

Dilip Datta, Kalyanmoy Deb and Carlos M. Fonseca. Multi-Objective Evolutionary Algorithm for University Class Timetabling Problem, in Keshav P. Dahal, Kay Chen Tan and Peter I Cowling (editors), Evolutionary Scheduling, pp. 197--236, Springer, Studies in Computational Intelligence (SCI), Berlin, 2007, ISBN 3-540-48582-1 .

Dilip Datta, Kalyanmoy Deb and Carlos M. Fonseca. Multi-objective Evolutionary Algorithms for Resource Allocation Problems, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 401--416, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.

Dilip Datta, Kalyanmoy Deb, Carlos M. Fonseca, Fernando G. Lobo, Paulo A. Condado and Júlia Seixas. Multi-Objective Evolutionary Algorithm for Land-Use Management Problem, International Journal of Computational Intelligence Research, Vol. 3, No. 4, pp. 371--384, 2007.

Shubhabrata Datta, Frank Pettersson, Subhas Ganguly, Henrik Saxen and Nirupam Chakraborti. Identification of factors governing mechanical properties of TRIP-aided steel using genetic algorithms and neural networks, Materials and Manufacturing Processes, Vol. 23, No. 2, pp. 131--138, 2008.

Dilip Datta, José Rui Figueira, Carlos M. Fonseca and Fernando Tavares-Pereira. Graph Partitioning Through a Multi-Objective Evolutionary Algorithm: A Preliminary Study, in 2008 Genetic and Evolutionary Computation Conference (GECCO'2008), pp. 625--632, ACM Press, Atlanta, USA, July 2008, ISBN 978-1-60558-131-6 .

Dilip Datta, Carlos M. Fonseca and Kalyanmoy Deb. A Multi-Objective Evolutionary Algorithm to Exploit the Similarities of Resource Allocation Problems, Journal of Scheduling, Vol. 11, No. 6, pp. 405--419, December 2008.

Rituparna Datta and Anima Majumder. Optimization of turning process parameters using Multi-objective Evolutionary algorithm, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 3629--3634, IEEE Press, Barcelona, Spain, July 18--23, 2010.

Dilip Datta and Akan Kumar Das. Tuning Process Parameters of Electrochemical Machining Using a Multi-Objective Genetic Algorithm: A Preliminary Study, in Kalyanmoy Deb, Arnab Bhattacharya, Nirupam Chakraborti, Partha Chakroborty, Swagatam Das, Joydeep Dutta, Santosh K. Gupta, Ashu Jain, Varun Aggarwal, Jürgen Branke, Sushil J. Louis and Kay Chen Tan (editors), Simulated Evolution and Learning, 8th International Conference, SEAL 2010, pp. 485--493, Springer. Lecture Notes in Computer Science Vol. 6457, Kanpur, India, December 1-4, 2010.

Rituparna Datta. Constrained Engineering Design Optimization Using a Hybrid Bi-Objective Evolutionary-Classical Methodology, in Kalyanmoy Deb, Arnab Bhattacharya, Nirupam Chakraborti, Partha Chakroborty, Swagatam Das, Joydeep Dutta, Santosh K. Gupta, Ashu Jain, Varun Aggarwal, Jürgen Branke, Sushil J. Louis and Kay Chen Tan (editors), Simulated Evolution and Learning, 8th International Conference, SEAL 2010, pp. 633--637, Springer. Lecture Notes in Computer Science Vol. 6457, Kanpur, India, December 1-4, 2010.

Rituparna Datta and Kalyanmoy Deb. A Bi-objective Based Hybrid Evolutionary-Classical Algorithm for Handling Equality Constraints, in Ricardo H.C. Takahashi, Kalyanmoy Deb, Elizabeth F. Wanner and Salvatore Grecco (editors), Evolutionary Multi-Criterion Optimization, 6th International Conference, EMO 2011, pp. 313--327, Springer. Lecture Notes in Computer Science Vol. 6576, Ouro Preto, Brazil, April 2011.

Dilip Datta and Jose Rui Figueira. Graph partitioning by multi-objective real-valued metaheuristics: A comparative study, Applied Soft Computing, Vol. 11, No. 5, pp. 3976--3987, July 2011.

Rituparna Datta and Kalyanmoy Deb. Multi-Objective Design and Analysis of Robot Gripper Configurations Using an Evolutionary-Classical Approach, in 2011 Genetic and Evolutionary Computation Conference (GECCO'2011), pp. 1843--1850, ACM Press, Dublin, Ireland, July 12-16, 2011.

Dilip Datta and Jose Rui Figueira. Some convergence-based M-ary cardinal metrics for comparing performances of multi-objective optimizers, Computers & Operations Research, Vol. 39, No. 7, pp. 1754--1762, July 2012.

Dilip Datta, Jacek Malczewski and Jose Rui Figueira. Spatial aggregation and compactness of census areas with a multiobjective genetic algorithm: a case study in Canada, Environment and Planning B-Planning & Design, Vol. 39, No. 2, pp. 376--392, 2012.

Rituparna Datta and Kalyanmoy Deb. An adaptive normalization based constrained handling methodology with hybrid bi-objective and penalty function approach, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 3159--3166, IEEE Press, Brisbane, Australia, June 10-15, 2012.

Rituparna Datta, Kalyanmoy Deb, M. Fernanda P. Costa and A. Gaspar-Cunha. An Evolutionary Algorithm based Pattern Search Approach for Constrained Optimization, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 1355--1362, IEEE Press, Cancún, México, 20-23 June, 2013, ISBN 978-1-4799-0454-9.

Rituparna Datta and Kalyanmoy Deb. Individual Penalty Based Constraint handling Using a Hybrid Bi-Objective and Penalty Function Approach, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 2720--2727, IEEE Press, Cancún, México, 20-23 June, 2013, ISBN 978-1-4799-0454-9.

Shubhabrata Datta, Qian Zhang, Nashrin Sultana and Mahdi Mahfouf. Optimal Design of Titanium Alloys for Prosthetic Applications Using a Multiobjective Evolutionary Algorithm, Materials and Manufacturing Processes, Vol. 28, No. 7, pp. 741--745, July 2013.

Muhamad Zalani Daud, Azah Mohamed, Ahmad Asrul Ibrahim and M. A. Hannan. Heuristic optimization of state-of-charge feedback controller parameters for output power dispatch of hybrid photovoltaic/battery energy storage system, Measurement, Vol. 49, pp. 15--25, March 2014.

David Daum and Nicolas Morel. Assessing the saving potential of blind controller via multi-objective optimization, Building Simulation, Vol. 2, No. 3, pp. 175--185, September 2009.

David Daum and Nicolas Morel. Identifying important state variables for a blind controller, Building and Environment, Vol. 45, No. 4, pp. 887--900, April, 2010.

Mohsen Davarynejad, Jafar Rezaei, Jos Vrancken, Jan van den Berg and Carlos A. Coello Coello. Accelerating Convergence Towards the Optimal Pareto Front, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 2107--2114, IEEE Service Center, New Orleans, Louisiana, USA, 5-8 June, 2011.

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Madeleine Davis-Moradkhan, Will N. Browne and Peter Grindrod. Extending evolutionary algorithms to discover tri-criterion and non-supported solutions for the minimum spanning tree problem, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 1829--1830, ACM Press, Montreal, Canada, July 8--12 2009. ISBN 978-1-60558-325-9 .

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Kalyanmoy Deb and Amarendra Kumar. Real-coded Genetic Algorithms with Simulated Binary Crossover: Studies on Multimodal and Multiobjective Problems. Complex Systems, 9:431-454, 1995.

Kalyanmoy Deb. Multi-Objective Genetic Algorithms: Problem Difficulties and Construction of Test Problems, Technical Report CI-49/98, Dortmund: Department of Computer Science/LS11, University of Dortmund, Germany, 1998.

Kalyanmoy Deb. Evolutionary Algorithms for Multi-Criterion Optimization in Engineering Design, In Kaisa Miettinen, Marko M. Mäkelä, Pekka Neittaanmäki and Jacques Periaux, editors, Evolutionary Algorithms in Engineering and Computer Science, chapter 8, pages 135-161. John Wiley & Sons, Ltd, Chichester, UK, 1999.

Kalyanmoy Deb. Non-linear goal programming using Multi-Objective Genetic Algorithms, Technical Report CI-60/98, Dortmund: Department of Computer Science/LS11, University of Dortmund, Germany, 1999.

Kalyanmoy Deb. Solving Goal Programming Problems Using Multi-Objective Genetic Algorithms. In 1999 Congress on Evolutionary Computation, pages 77-84, Washington, D.C., July 1999. IEEE Service Center.

Kalyanmoy Deb. Multi-Objective Genetic Algorithms: Problem Difficulties and Construction of Test Problems, Evolutionary Computation, 7(3):205-230, Fall 1999.

Kalyanmoy Deb. Multi-Objective Evolutionary Algorithms: Introducing Bias Among Pareto-Optimal Solutions KanGAL report 99002, Indian Institute of Technology, Kanpur, India, 1999.

K. Deb. An introduction to genetic algorithms, Sadhana-Academy Proceedings In Engineering Sciences, Vol. 24, pp. 293-315, August-October, 1999.

Kalyanmoy Deb, Samir Agrawal, Amrit Pratap and T. Meyarivan. A Fast Elitist Non-Dominated Sorting Genetic Algorithm for Multi-Objective Optimization: NSGA-II, KanGAL report 200001, Indian Institute of Technology, Kanpur, India, 2000.

Kalyanmoy Deb. Multi-objective Evolutionary Optimization: Past, Present and Future,In Ian C. Parmee, editor, Proceedings of the Fourth International Conference on Adaptive Computing in Design and Manufacture (ACDM'2000), pages 225-236. PEDC, University of Plymouth, UK, Springer London, 2000.

Kalyanmoy Deb and T. Meyarivan. Constrained Test Problems for Multi-Objective Evolutionary Optimization, KanGAL report 200005, Indian Institute of Technology, Kanpur, India, 2000

Kalyanmoy Deb and Tushar Goyal. Controlled Elitist Non-dominated Sorting Genetic Algorithms for Better Convergence, KanGAL report 200004, Indian Institute of Technology, Kanpur, India, 2000

Kalyanmoy Deb and Tushar Goyal. Multi-Objective Evolutionary Algorithms for Engineering Shape Design, KanGAL report 200003, Indian Institute of Technology, Kanpur, India, 2000

Kalyanmoy Deb, A. Patrap and S. Moitra. Mechanical Component Design for multi-objective using Elitist non-dominated sorting GA, KanGAL report 200002, Indian Institute of Technology, Kanpur, India, 2000

Kalyanmoy Deb, Samir Agrawal, Amrit Pratap and T. Meyarivan. A Fast Elitist Non-Dominated Sorting Genetic Algorithm for Multi-Objective Optimization: NSGA-II, In Marc Schoenauer, Kalyanmoy Deb, Günter Rudolph, Xin Yao, Evelyne Lutton, J. J. Merelo and Hans-Paul Schwefel (editors), Proceedings of the Parallel Problem Solving from Nature VI Conference, pages 849-858. Springer, 2000

Kalyanmoy Deb, Amrit Pratap and Subrajyoti Moitra. Mechanical Component Design for Multiple Objectives Using Elitist Non-dominated Sorting GA, In Marc Schoenauer, Kalyanmoy Deb, Günter Rudolph, Xin Yao, Evelyne Lutton, J. J. Merelo and Hans-Paul Schwefel (editors), Proceedings of the Parallel Problem Solving from Nature VI Conference, pages 859--868. Springer, 2000

Kalyanmoy Deb and Tushar Goel. A Hybrid Multi-Objective Evolutionary Approach to Engineering Shape Design. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 385-399. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001

Kalyanmoy Deb and Tushar Goel. Controlled Elitist Non-dominated Sorting Genetic Algorithms for Better Convergence. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 67-81. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001

Kalyanmoy Deb, Amrit Pratap and T. Meyarivan. Constrained Test Problems for Multi-objective Evolutionary Optimization. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 284-298. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001

Kalyanmoy Deb, Lothar Thiele, Marco Laumanns and Eckart Zitzler. Scalable Test Problems for Evolutionary Multi-Objective Optimization, TIK-Report No.112, Computer Engineering and Networks Laboratory (TIK), Swiss Federal Institute of Technology (ETH) Zurich, July, 2001

Kalyanmoy Deb. Nonlinear goal programming using multi-objective genetic algorithms, Journal of the Operational Research Society, Vol. 52, No. 3, pp. 291--302, 2001

Kalyanmoy Deb. Multi-Objective Optimization using Evolutionary Algorithms, John Wiley & Sons, Chichester, UK, 2001, ISBN 0-471-87339-X.

Kalyanmoy Deb, Amrit Pratap, Sameer Agarwal and T. Meyarivan. A Fast and Elitist Multiobjective Genetic Algorithm: NSGA--II, IEEE Transactions on Evolutionary Computation, Vol. 6, No. 2, pp. 182--197, April 2002.

Kalyanmoy Deb, Lothar Thiele, Marco Laumanns and Eckart Zitzler. Scalable Multi-Objective Optimization Test Problems, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 825--830, IEEE Service Center, Piscataway, New Jersey, May 2002.

Kalyanmoy Deb and Sachin Jain. Running Performance Metrics for Evolutionary Multi-Objective Optimization, in Lipo Wang, Kay Chen Tan, Takeshi Furuhashi, Jong-Hwan Kim and Xin Yao (editors), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02), pp. 13--20, Vol. 1, Nanyang Technical University, Orchid Country Club, Singapore, November 2002.

Kalyanmoy Deb and Tushar Goel. Multi-Objective Evolutionary Algorithms for Engineering Shape Design, in Ruhul Sarker, Masoud Mohammadian and Xin Yao (eds), Evolutionary Optimization, pp. 146--175, Kluwer Academic Publishers, New York, February 2002, ISBN 0-7923-7654-4.

Kalyanmoy Deb, Manikanth Mohan and Shikhar Mishra. Towards a Quick Computation of Well-Spread Pareto-Optimal Solutions, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 222--236, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.

Kalyanmoy Deb, Pawan Zope and Abhishek Jain. Distributed Computing of Pareto-Optimal Solutions with Evolutionary Algorithms, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 534--549, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.

Kalyanmoy Deb. Multi-objective Evolutionary Algorithms: Introducing Bias Among Pareto-optimal Solutions, in Ashish Ghosh and Shigeyoshi Tsutsui (editors), Advances in Evolutionary Computing. Theory and Applications, pp. 263--292, Springer, Berlin, 2003, ISBN 3-540-43330-9 .

Kalyanmoy Deb. Unveiling innovative design principles by means of multiple conflicting objectives, Engineering Optimization, Vol. 35, No. 5, pp. 445--470, October 2003.

Kalyanmoy Deb and Sachin Kain. Multi-Speed Gearbox Design Using Multi-Objective Evolutionary Algorithms, Journal of Mechanical Design, Vol. 125, No. 3, pp. 609--619, September 2003.

Kalyanmoy Deb and Naveen Kumar Gupta. Optimal Operating Conditions for Overhead Crane Maneuvering Using Multi-objective Evolutionary Algorithms, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part I, Springer-Verlag, Lecture Notes in Computer Science Vol. 3102, pp. 1042--1053, Seattle, Washington, USA, June 2004.

Kalyanmoy Deb, Kishalay Mitra, Rinku Dewri and Saptarshi Majumdar. Unveiling Optimal Operating Conditions for an Epoxy Polymerization Process Using Multi-objective Evolutionary Computation, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part II, Springer-Verlag, Lecture Notes in Computer Science Vol. 3103, pp. 920--931, Seattle, Washington, USA, June 2004.

Kalyanmoy Deb. An Ideal Evolutionary Multi-Objective Optimization Procedure, IPSJ Transactions on Mathematical Modeling and Its Applications, Vol. 45, No. SIG 2 (TOM 10), pp. 1--11, February 2004.

K. Deb, K. Mitra, R. Dewri and S. Majumdar. Towards a Better Understanding of the Epoxy Polymerization Process Using Multi-objective Evolutionary Computation, Chemical Engineering Science, Vol. 59, No. 20, pp. 4261--4277, 2004.

Kalyanmoy Deb and Sachin Jain. Evaluating Evolutionary Multi-Objective Optimization Algorithms using Running Performance Metrics, in Kay Chen Tan, Meng Hiot Lim, Xin Yao and Lipo Wang (editors), Recent Advances in Simulated Evolution and Learning, pp. 307--326, World Scientific, Singapore, 2004.

K. Deb, P. Jain, NK. Gupta and HK. Maji. Multiobjective placement of electronic components using evolutionary algorithms, IEEE Transactions on Components and Packaging Technologies, Vol. 27, No. 3, pp. 480--492, September, 2004.

Kalyanmoy Deb and Santosh Tiwari. Omni-optimizer: A Procedure for Single and Multi-objective Optimization, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 47--61, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.

Kalyanmoy Deb and Himanshu Gupta. Searching for Robust Pareto-Optimal Solutions in Multi-objective Optimization, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 150--164, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.

Kalyanmoy Deb and Santosh Tiwari. Multi-objective optimization of a leg mechanism using genetic algorithms, Engineering Optimization, Vol. 37, No. 4, pp. 325--350, June 2005.

Kalyanmoy Deb, Lothar Thiele, Marco Laumanns and Eckart Zitzler. Scalable Test Problems for Evolutionary Multiobjective Optimization, in Ajith Abraham, Lakhmi Jain and Robert Goldberg (editors), Evolutionary Multiobjective Optimization. Theoretical Advances and Applications, pp. 105--145, Springer, USA, 2005.

Kalyanmoy Deb, Manikanth Mohan and Shikhar Mishra. Evaluating the epsilon-Domination Based Multi-Objective Evolutionary Algorithm for a Quick Computation of Pareto-Optimal Solutions, Evolutionary Computation, Vol. 13, No. 4, pp. 501--525, Winter 2005.

Kalyanmoy Deb. Muti-Objective Optimization, in Edmund K. Burke and Graham Kendall (editors), Search Methodologies. Introductory Tutorials in Optimization and Decision Support Techniques, pp. 273--316, Springer, USA, 2005, ISBN 0-387-23406-8.

Kalyanmoy Deb, Ankur Sinha and Saku Kukkonen. Multi-Objective Test Problems, Linkages and Evolutionary Methodologies, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 1141--1148, Vol. 2, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .

Kalyanmoy Deb, Shamik Chaudhuri and Kaisa Miettinen. Towards Estimating Nadir Objective Vector Using Evolutionary Approaches, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 643--650, Vol. 1, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .

Kalyanmoy Deb, J. Sundar, Udaya Bhaskara Rao N. and Shamik Chaudhuri. Reference Point Based Multi-Objective Optimization Using Evolutionary Algorithms, International Journal of Computational Intelligence Research, Vol. 2, No. 3, pp. 273--286, 2006.

Kalyanmoy Deb and J. Sundar. Reference Point Based Multi-Objective Optimization Using Evolutionary Algorithms, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 635--642, Vol. 1, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .

Kalyanmoy Deb and Aravind Srinivasan. Innovization: Innovating Design Principles Through Optimization, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 1629--1636, Vol. 2, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .

Kalyanmoy Deb and Dhish Kumar Saxena. Searching for Pareto-optimal solutions through dimensionality reduction for certain large-dimensional multi-objective optimization problems, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 3353--3360, IEEE, Vancouver, BC, Canada, July 2006.

Kalyanmoy Deb and Himanshu Gupta. Introducing robustness in multi-objective optimization, Evolutionary Computation, Vol. 14, No. 4, pp. 463--494, Winter 2006.

Kalyanmoy Deb. Evolutionary Multi-Objective Optimization Without Additional Parameters, in Fernando G. Lobo, Cláudio F. Lima and Zbigniew Michalewicz (editors), Parameter Setting in Evolutionary Algorithms, pp. 241--257, Springer-Verlag, Berlin, 2007.

Kalyanmoy Deb and Pawan K.S. Nain. An Evolutionary Multi-objective Adaptive Meta-modeling Procedure Using Artificial Neural Networks, in Shengxiang Yang, Yew Soon Ong and Yaochu Jin (editors), Evolutionary Computation in Dynamic and Uncertain Environments, pp. 297--322, Springer, 2007, ISBN 978-3-540-49772-1 .

Kalyanmoy Deb, Dhanesh Padmanabhan, Sulabh Gupta and Abhishek Kumar Mall. Reliability-Based Multi-objective Optimization Using Evolutionary Algorithms, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 66--80, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.

Kalyanmoy Deb and Abhishek Kumar. Interactive Evolutionary Multi-Objective Optimization and Decision-Making using Reference Direction Method, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO'2007), pp. 781--788, Vol. 1, ACM Press, London, UK, July 2007.

Kalyanmoy Deb, S. Karthik and Tatsuya Okabe. Self-Adaptive Simulated Binary Crossover for Real-Parameter Optimization, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO'2007), pp. 1187--1194, Vol. 2, ACM Press, London, UK, July 2007.

Kalyanmoy Deb and Shamik Chaudhuri. I-MODE: An Interactive Multi-objective Optimization and Decision-Making Using Evolutionary Methods, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 788--802, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.

Kalyanmoy Deb, Udaya Bhaskara N. Rao and S. Karthik. Dynamic Multi-objective Optimization and Decision-Making Using Modified NSGA-II: A Case Study on Hydro-thermal Power Scheduling, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 803--817, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.

Kalyanmoy Deb. Current trends in evolutionary multi-objective optimization, International Journal for Simulation and Multidisciplinary Design Optimization, Vol. 1, No.1, pp. 1--8, October 2007.

Kalyanmoy Deb, Rahul Tewari, Mayur Dixit and Joydeep Dutta. Finding Trade-off Solutions Close to KKT Points Using Evolutionary Multi-Objective Optimization. In 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 2109-2116, IEEE Press, Singapore, September 2007.

Kalyanmoy Deb and Abhay Kumar. Light Beam Search Based Multi-Objective Optimization using Evolutionary Algorithms. In 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 2125-2132, IEEE Press, Singapore, September 2007.

Kalyanmoy Deb, Swanand Lele and Rituparna Datta. A Hybrid Evolutionary Multi-objective and SQP Based Procedure for Constrained Optimization, in Lishan Kang, Yong Liu and Sanyou Zeng (editors), Advances in Computation and Intelligence, Second International Symposium, ISICA 2007, pp. 36--45, Springer. Lecture Notes in Computer Science Vol. 4683, Wuhan, China, September 21-23, 2007.

Kalyanmoy Deb and Aravind Srinivasan. Innovization: Discovery of Innovative Design Principles Through Multiobjective Evolutionary Optimization , in Joshua Knowles, David Corne and Kalyanmoy Deb (Editors), Multi-Objective Problem Solving from Nature: From Concepts to Applications, pp. 243--262, Springer, Berlin, 2008, ISBN 978-3-540-72963-1 .

Kalyanmoy Deb. Scope of stationary multi-objective evolutionary optimization: a case study on a hydro-thermal power dispatch problem, Journal of Global Optimization, Vol. 41, No. 4, pp. 479--515, August 2008.

Kalyanmoy Deb and Santosh Tiwar. Omni-optimizer: A generic evolutionary algorithm for single and multi-objective optimization, European Journal of Operational Research, Vol. 1853, No. 3, pp. 1062--1087, 16 March, 2008.

Kalyanmoy Deb. A Robust Evolutionary Framework for Multi-Objective Optimization, in 2008 Genetic and Evolutionary Computation Conference (GECCO'2008), pp. 633--647, ACM Press, Atlanta, USA, July 2008, ISBN 978-1-60558-131-6 .

Kalyanmoy Deb and Karthik Sindhya. Deciphering Innovative Principles for Optimal Electric Brushless D.C. Permanent Magnet Motor Design, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 2283--2290, IEEE Service Center, Hong Kong, June 2008.

Kalyanmoy Deb. Evolutionary Multi-Objective Optimization and Decision Making, in Bogan Filipic and Jurij Silc (editors), Third International Conference on Bioinspired Optimization Methods and their Applications (BIOMA 2008), pp. 3--15, Jozef Stefan Institute, Ljubljana, Slovenia, October 2008, ISBN 978-961-264-002-6.

Kalyanmoy Deb. Introduction to Evolutionary Multiobjective Optimization, in Jürgen Branke, Kalyanmoy Deb, Kaisa Miettinen and Roman Slowinski (editors), Multiobjective Optimization. Interactive and Evolutionary Approaches, pp. 59--96, Springer. Lecture Notes in Computer Science Vol. 5252, Berlin, Germany, 2008.

Kalyanmoy Deb and Ankur Sinha. Solving Bilevel Multi-Objective Optimization Problems Using Evolutionary Algorithms, in Matthias Ehrgott, Carlos M. Fonseca, Xavier Gandibleux, Jin-Kao Hao and Marc Sevaux (editors), Evolutionary Multi-Criterion Optimization. 5th International Conference, EMO 2009, pp. 110--124, Springer. Lecture Notes in Computer Science Vol. 5467, Nantes, France, April 2009.

Kalyanmoy Deb, Kaisa Miettinen and Deepak Sharma. A Hybrid Integrated Multi-Objective Optimization Procedure for Estimating Nadir Point, in Matthias Ehrgott, Carlos M. Fonseca, Xavier Gandibleux, Jin-Kao Hao and Marc Sevaux (editors), Evolutionary Multi-Criterion Optimization. 5th International Conference, EMO 2009, pp. 569--583, Springer. Lecture Notes in Computer Science Vol. 5467, Nantes, France, April 2009.

Kalyanmoy Deb. Evolution's Niche in Multi-Criterion Problem Solving, in Andrew Lewis, Sanaz Mostaghim and Marcus Randall (editors), Biologically-Inspired Optimisation Methods, pp. 1--21, Springer, 2009. ISBN 978-3-642-01261-7 .

Kalyanmoy Deb, Shubham Gupta, David Daum, Juergen Branke, Abhishek Kumar Mall and Dhanesh Padmanabhan. Reliability-Based Optimization Using Evolutionary Algorithms, IEEE Transactions on Evolutionary Computation, Vol. 13, No. 5, pp. 1054--1074, October 2009.

Kalyanmoy Deb, Shubham Gupta, David Daum, Juergen Branke, Abhishek Kumar Mall and Dhanesh Padmanabhan. Reliability-Based Optimization Using Evolutionary Algorithms, IEEE Transactions on Evolutionary Computation, Vol. 13, No. 5, pp. 1054-1074, October 2009.

Kalyanmoy Deb and Ankur Sinha. Constructing Test Problems for Bilevel Evolutionary Multi-Objective Optimization, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 1153--1160, IEEE Press, Trondheim, Norway, May, 2009.

Kalyanmoy Deb and Ankur Sinha. An Evolutionary Approach for Bilevel Multi-objective Problems. in Yong Shi, Shouyang Wang, Yi Peng, Jianping Li and Yong Zeng, (editors), Cutting-Edge Research Topics on Multiple Criteria Decision Making (MCDM'2009), pp. 17--24, Springer, Communications in Computer and Information Science, Vol. 35, Heidelberg, Germany, 2009.

Kalyanmoy Deb and Kaisa Miettinen. Nadir Point Estimation Using Evolutionary Approaches: Better Accuracy and Computational Speed Through Focused Search. in Matthias Ehrgott, Boris Naujoks, Theodor J. Stewart and Jyrki Wallenius, (editors), Multiple Criteria Decision Making for Sustainable Energy and Transportation Systems, pp. 339--354, Springer, Lecture Notes in Economics and Mathematical Systems Vol. 634, Heidelberg, Germany, 2010.

Kalyanmoy Deb and Amit Saha. Finding Multiple Solutions for Multimodal Optimization Problems Using a Multi-Objective Evolutionary Approach, in Proceedings of the 12th annual conference on Genetic and Evolutionary Computation (GECCO'2010), pp. 447--454, ACM Press, Portland, Oregon, USA, July 7--11, 2010, ISBN 978-1-4503-0072-8.

Kalyanmoy Deb, Ankur Sinha, Pekka J. Korhonen and Jyrki Wallenius. An Interactive Evolutionary Multiobjective Optimization Method Based on Progressively Approximated Value Functions, IEEE Transactions on Evolutionary Computation, Vol. 14, No. 5, pp. 723-739, October, 2010.

Kalyanmoy Deb, Kaisa Miettinen and Shamik Chaudhuri. Toward an Estimation of Nadir Objective Vector Using a Hybrid of Evolutionary and Local Search Approaches, IEEE Transactions On Evolutionary Computation, Vol. 14, No. 6, pp. 821-841, December, 2010.

Kalyanmoy Deb and Rituparna Datta. A Fast and Accurate Solution of Constrained Optimization Problems Using a Hybrid Bi-Objective and Penalty Function Approach, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 165--172, IEEE Press, Barcelona, Spain, July 18--23, 2010.

Kalyanmoy Deb and Shivam Gupta. Towards a Link Between Knee Solutions and Preferred Solution Methodologies, in Bijaya Ketan Panigrahi, Swagatam Das, Ponnuthurai Nagaratnam Suganthan and Subhransu Sekhar Dash (editors), Swarm, Evolutionary, and Memetic Computing, First International Conference on Swarm, Evolutionary and Memetic Computing, SEMCCO 2010, pp. 182--189, Springer-Verlag. Lecture Notes in Computer Science Vol. 6466, Chennai, India, December 16-18, 2010.

Kalyanmoy Deb. Recent Developments in Evolutionary Multi-Objective Optimization, in Matthias Ehrgott, José Rui Figueira and Salvatore Greco (editors), Trends in Multiple Criteria Decision Analysis, Chapter 12, pp. 339--368, Springer, International Series in Operations Research and Management Science, 2010, ISBN 978-1-4419-5903-4.

Kalyanmoy Deb and Ankur Sinha. An Efficient and Accurate Solution Methodology for Bilevel Multi-Objective Programming Problems Using a Hybrid Evolutionary-Local-Search Algorithm, Evolutionary Computation, Vol. 18, No. 3, pp. 403--449, Fall, 2010.

Kousik Deb and Anirban Dhar. Optimum Design of Stone Column-improved Soft Soil Using Multiobjective Optimization Technique, Computers and Geotechnics, Vol. 38, No. 1, pp. 50--57, January 2011.

Kalyanmoy Deb, Ralph E. Steuer, Rajat Tewari and Rahul Tewari. Bi-objective Portfolio Optimization Using a Customized Hybrid NSGA-II Procedure, in Ricardo H.C. Takahashi, Kalyanmoy Deb, Elizabeth F. Wanner and Salvatore Grecco (editors), Evolutionary Multi-Criterion Optimization, 6th International Conference, EMO 2011, pp. 358--373, Springer. Lecture Notes in Computer Science Vol. 6576, Ouro Preto, Brazil, April 2011.

Kalyanmoy Deb and Shivam Gupta. Understanding knee points in bicriteria problems and their implications as preferred solution principles, Engineering Optimization, Vol. 43, No. 11, pp. 1175--1204, 2011.

Kalyanmoy Deb. Multi-objective Optimisation Using Evolutionary Algorithms: An Introduction, in Lihui Wang, Amos H. C. Ng and Kalyanmoy Deb (editors), Multi-objective Evolutionary Optimisation for Product Design and Manufacturing, Chapter 1, pp. 3--34, Springer, London, UK, 2011, ISBN 978-0-85729-617-7.

Kalyanmoy Deb and Amit Saha. Multimodal Optimization Using a Bi-Objective Evolutionary Algorithm, Evolutionary Computation, Vol. 20, No. 1, pp. 27--62, Spring, 2012.

Kalyanmoy Deb, Sunith Bandaru and Cem Celal Tutum. Temporal Evolution of Design Principles in Engineering Systems: Analogies with Human Evolution, in Carlos A. Coello Coello, Vincenzo Cutello, Kalyanmoy Deb, Stephanie Forrest, Giuseppe Nicosia and Mario Pavone (editors), Parallel Problem Solving from Nature - PPSN XII, 12th International Conference, pp. 1--10, Springer. Lecture Notes in Computer Science Vol. 7492, Taormina, Italy, September 1-5, 2012.

Kalyanmoy Deb, Francisco Ruiz, Mariano Luque, Rahul Tewari,Jose M. Cabello and Jose M. Cejudo. On the sizing of a solar thermal electricity plant for multiple objectives using evolutionary optimization, Applied Soft Computing, Vol. 12, No. 10, pp. 3300--3311, October 2012.

Kalyanmoy Deb and Himanshu Jain. Handling many-objective problems using an improved NSGA-II procedure, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 1400--1407, IEEE Press, Brisbane, Australia, June 10-15, 2012.

Kalyanmoy Deb. Advances in Evolutionary Multi-objective Optimization, in Gordon Fraser and Jerffeson Teixeira de Souza (editors), Search Based Software Engineering, 4th International Symposium, SSBSE 2012, pp. 1--26, Springer. Lecture Notes in Computer Science Vol. 7515, Riva del Garda, Italy, September 28-30, 2012.

Kalyanmoy Deb and Rituparna Datta. A bi-objective constrained optimization algorithm using a hybrid evolutionary and penalty function approach, Engineering Optimization, Vol. 45, No. 5, pp. 503--527, May 1, 2013.

Kalyanmoy Deb. Two Approaches for Single and Multi-Objective Dynamic Optimization, in Enrique Alba, Amir Nakib and Patrick Siarry (editors), Metaheuristics for Dynamic Optimization, Chapter 6, pp. 99--116, Springer, Berlin, Germany, 2013, ISBN 978-3-642-30664-8.

Kousik Deb and Anirban Dhar. Parameter Estimation for a System of Beams Resting on Stone Column-Reinforced Soft Soil, International Journal of Geomechanics, Vol. 13, No. 3, pp. 222--233, June 2013.

Madhujit Deb, Rahul Banerjee, Arindam Majumder and G. R. K. Sastry. Multi objective optimization of performance parameters of a single cylinder diesel engine with hydrogen as a dual fuel using pareto-based genetic algorithm, International Journal of Hydrogen Energy, Vol. 39, No. 15, pp. 8063--8077, May 15, 2014.

Kalyanmoy Deb and Himanshu Jain. An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints, IEEE Transactions on Evolutionary Computation, Vol. 18, No. 4, pp. 577--601, August 2014.

Kalyanmoy Deb, Mohamed Abouhawwash and Joydeep Dutta. An Optimality Theory Based Proximity Measure for Evolutionary Multi-Objective and Many-Objective Optimization, in António Gaspar-Cunha, Carlos Henggeler Antunes and Carlos Coello Coello (editors), Evolutionary Multi-Criterion Optimization, 8th International Conference, EMO 2015, pp. 18--33, Springer. Lecture Notes in Computer Science Vol. 9019, Guimarães, Portugal, March 29 - April 1, 2015.

S. Dedieu, L. Pibouleau, C. Azzaro-Pantel and S. Domenech, Design and retrofit of multiobjective batch plants via a multicriteria genetic algorithm, Computers & Chemical Engineering, Vol. 27, No. 12, pp. 1723--1740, December 15, 2003.

K. Deep, Krishna Pratap Singh, M. L. Kansal and C. Mohan. Management of Multipurpose Multireservoir Using Fuzzy Interactive Method, Water Resources Management, Vol. 23, No. 14, pp. 2987--3003, November, 2009.

P. Deepalakshmi and S. Radhakrishnan. An Ant Colony Based Multi Objective Approach to Source-Initiated QoS Multicasting Method for Ad Hoc Networks, International Journal of Advances in Soft Computing and Its Application, Vol. 3, No. 2, July 2011.

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Sandra García, Cristóbal Luque, Alejandro Cervantes and Inés M. Galván. Multiobjective Algorithms Hybridization to Optimize Broadcasting Parameters in Mobile Ad-Hoc Networks, in Joan Cabestany, Francisco Sandoval, Alberto Prieto and Juan M. Corchado (editors), Bio-Inspired Systems: Computational and Ambient Intelligence, 10th International Work-Conference on Artificial Neural Networks, IWANN 2009, pp. 728--735, Springer. Lecture Notes in Computer Science Vol. 5517, Salamanca, Spain, June 10-12, 2009.

Abel Garcia-Najera and John A. Bullinaria. Optimizing Delivery Time in Multi-Objective Vehicle Routing Problems with Time Windows. in Robert Schaefer, Carlos Cotta, Joanna Kolodziej and Günter Rudolph, (editors) Parallel Problem Solving from Nature--PPSN XI, 11th International Conference, Proceedings, Part II, pp. 51--60, Springer, Lecture Notes in Computer Science Vol. 6239, Kraków, Poland, September, 2010.

Carlos R. Garcia-Alonso, Luis Salvador-Carulla, Miguel A. Negrin-Hernandez and Berta Moreno-Küstner. Development of a New Spatial Analysis Tool in Mental Health: Identification of Highly Autocorrelated Areas (Hot-Spots) of Schizophrenia Using a Multiobjective Evolutionary Algorithm Model (MOEA/HS), Epidemiologia e Psichiatria Sociale-an International Journal for Epidemiology and Psychiatric Sciences, Vol. 19, No. 4, pp. 302--313, October - December, 2010.

Sandra García and Ricardo Aler and Inés María Galv´an. Using Evolutionary Multiobjective Techniques for Imbalanced Classification Data, in Konstantinos Diamantaras, Wlodek Duch and Lazaros S. Iliadis (editors), Artificial Neural Networks - ICANN 2010, 20th International Conference, pp. 422--427, Springer. Lecture Notes in Computer Science Vol. 6352, Thessaloniki, Greece, September 15-18, 2010.

Abel Garcia Najera. Multi-Objective Evolutionary Algorithms for Vehicle Routing Problems, PhD thesis, School of Computer Science, College of Engineering and Physical Sciences, The University of Birmingham, UK, November 2010 (abstract).

Rodolfo Garcia, Emerson Cabrera Paraiso and Júlio Cesar Nievola. Multiobjective Optimization of Indexes Obtained by Clustering for Feature Selection Methods Evaluation in Genes Expression Microarrays, in Hujun Yin, Wenjia Wang and Victor Rayward-Smith (editors), Intelligent Data Engineering and Automated Learning - IDEAL 2011, 12th International Conference, pp. 353--360, Springer. Lecture Notes in Computer Science Vol. 6936, Norwich, UK, September 7-9, 2011.

Abel Garcia-Najera and John A. Bullinaria. An improved multi-objective evolutionary algorithm for the vehicle routing problem with time windows, Computers & Operations Research, Vol. 38, No. 1, pp. 287--300, January 2011.

Sandra García, David Quintana, Inés M. Galván and Pedro Isasi. Portfolio Optimization Using SPEA2 with Resampling, in Hujun Yin, Wenjia Wang and Victor Rayward-Smith (editors), Intelligent Data Engineering and Automated Learning-IDEAL 2011, 12th International Conference, pp. 127--134, Springer. Lecture Notes in Computer Science Vol. 6936, Norwich, UK, September 7-9, 2011.

Juan Jose Valera Garcia, Vicente Gomez Garay, Eloy Irigoyen Gordo, Fernando Artaza Fano and Mikel Larrea Sukia. Intelligent Multi-Objective Nonlinear Model Predictive Control (iMO-NMPC): Towards the 'on-line' optimization of highly complex control problems, Expert Systems With Applications, Vol. 39, No. 7, pp. 6527--6540, June 1, 2012.

Álvaro Garcia-Piquer. Facing-up Challenges of Multiobjective Clustering Based on Evolutionary Algorithms: Representations, Scalability and Retrieval Solutions, PhD thesis, Computer Science Department, Ecola Tècnica Superior d'Enginyeria Electrònica I Informàtica La Salle - Universitat Ramon Llull, Barcelona, Spain, March 2012 (abstract).

Abel Garcia–Najera The Vehicle Routing Problem with Backhauls: A Multi-objective Evolutionary Approach, in Jin-Kao Hao and Martin Middendorf (editors), Evolutionary Computation in Combinatorial Optimization, 12th European Conference, EvoCOP 2012, pp. 255--266, Springer. Lecture Notes in Computer Science Vol. 7245, Málaga, Spain, April 11-13, 2012.

Abel Garcia-Najera and Miguel Ángel Gutiérres-Andrade. An Evolutionary Approach to the Multi-objective Pickup and Delivery Problem with Time Windows, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 997--1004, IEEE Press, Cancún, México, 20-23 June, 2013, ISBN 978-1-4799-0454-9.

Juan Andres Martin Garcia and Antonio Jose Gil Mena. Optimal distributed generation location and size using a modified teaching-learning based optimization algorithm, International Journal of Electrical Power & Energy Systems, Vol. 50, pp. 65--75, September 2013.

Sandra Garcia, David Quintana, Ines M. Galvan and Pedro Isasi. Multiobjective Algorithms with Resampling for Portfolio Optimization, Computing and Informatics, Vol. 32, No. 4, pp. 777--796, November 2013.

Carlos Garcia, Guillermo Botella, Fermin Ayuso, Manuel Prieto and Francisco Tirado. Multi-GPU based on multicriteria optimization for motion estimation system, EURASIP Journal on Advances in Signal Processing, Article Number: 23, 2013.

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Alvaro Garcia-Piquer, Albert Fornells, Jaume Bacardit, Albert Orriols-Puig and Elisabet Golobardes. Large-Scale Experimental Evaluation of Cluster Representations for Multiobjective Evolutionary Clustering, IEEE Transactions on Evolutionary Computation, Vol. 18, No. 1, pp. 36--53, February 2014.

Ivan Chaman García, Carlos A. Coello Coello and Alfredo Arias-Montaño. MOPSOhv: A New Hypervolume-based Multi-Objective Particle Swarm Optimizer, in 2014 IEEE Congress on Evolutionary Computation (CEC'2014), pp. 266--273, IEEE Press, Beijing, China, 6-11 July 2014, ISBN 978-1-4799-1488-3.

Carlos R. Garcia-Alonso, Leonor M. Perez-Naranjo and Juan C. Fernandez-Caballero. Multiobjective evolutionary algorithms to identify highly autocorrelated areas: the case of spatial distribution in financially compromised farms, Annals of Operations Research, Vol. 219, No. 1, pp. 187--202, August 2014.

Alvaro Garcia-Piquer, Ignasi Ribas and Josep Colome. Artificial Intelligence for the EChO Long-Term Mission Planning Tool, in Observatory Operations: Strategies, Processes, and Systems V, Article Number: 91491U, Spie-Int Soc Optical Engineering, Montreal, Canada, June 25-27, 2014, ISBN 978-0-8194-9617-1.

Sandra Garcia, David Quintana, InS M. Galvan and Pedro Isasi. Extended mean-variance model for reliable evolutionary portfolio optimization, AI Communications, Vol. 7, No. 3, pp. 315--324, 2014.

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Ritu Garg and Awadhesh Kumar Singh. Multi-objective Workflow Grid Scheduling Based on Discrete Particle Swarm Optimization, in Bijaya Ketan Panigrahi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das and Suresh Chandra Satapathy (editors), Swarm, Evolutionary, and Memetic Computing, Second International Conference, SEMCCO 2011, pp. 183--190, Springer. Lecture Notes in Computer Science Vol. 7076, Visakhapatnam, Andhra Pradesh, India, December 19-21, 2011.

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David L. González-Álvarez}, Miguel A. Vega-Rodríguez, Juan A. Gómez-Pulido and Juan M. Sánchez-Pérez. Solving the motif discovery problem by using Differential Evolution with Pareto Tournaments, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 4140--4147, IEEE Press, Barcelona, Spain, July 18--23, 2010.

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David L. Gonzalez-Alvarez, Miguel A. Vega-Rodriguez, Juan A. Gomez-Pulido and Juan M. Sanchez-Perez. Predicting DNA Motifs by Using Evolutionary Multiobjective Optimization, IEEE Transactions on Systems Man and Cybernetics Part C--Applications and Reviews, Vol. 42, No. 6, pp. 913--925, November 2012.

David Gonzalez, Mario Garcia-Lozano, Silvia Ruiz Boque, Joan Olmos and DongSeop Lee. Optimization of realistic full frequency reuse OFDMA-based cellular networks, in 2012 IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC'2012), pp. 1324--1329, IEEE Press, Sydney, Australia, September 9-12, 2012.

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David L. González-Álvarez and Miguel A. Vega-Rodríguez. Hybrid Multiobjective Artificial Bee Colony with Differential Evolution Applied to Motif Finding, in Leonardo Vanneschi, William S. Bush and Mario Giacobini (editors), Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 11th European Conference, EvoBIO 2013, pp. 68--79, Springer. Lecture Notes in Computer Science Vol. 7833, Vienna, Austria, April 3-5, 2013.

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Sotirios K. Goudos, Zaharias D. Zaharis, Dimitra G. Kampitaki, Ioaniis T. Rekanos and Costas S. Hilas. Pareto Optimal Design of Dual-Band Base Station Antenna Arrays Using Multi-Objective Particle Swarm Optimization With Fitness Sharing, IEEE Transactions on Magnetics, Vol. 45, No. 3, pp. 1522-1525, March 2009.

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Salvatore Greco, Roman Slowiński, José Rui Figueira and Vincent Mousseau. Robust Ordinal Regression, in Matthias Ehrgott, José Rui Figueira and Salvatore Greco (editors), Trends in Multiple Criteria Decision Analysis, Chapter 9, pp. 241--283, Springer, International Series in Operations Research and Management Science, 2010, ISBN 978-1-4419-5903-4.

Salvatore Greco, Benedetto Matarazzo and Roman Slowinski. Interactive Multiobjective Mixed-Integer Optimization Using Dominance-Based Rough Set Approach , in Ricardo H.C. Takahashi, Kalyanmoy Deb, Elizabeth F. Wanner and Salvatore Grecco (editors), Evolutionary Multi-Criterion Optimization, 6th International Conference, EMO 2011, pp. 241--253, Springer. Lecture Notes in Computer Science Vol. 6576, Ouro Preto, Brazil, April 2011.

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D. Greiner, G. Winter and J.M. Emperador. Optimising frame structures by different strategies of genetic algorithms, Finite Elements in Analysis and Design, Vol. 37, No. 5, pp. 381--402, May 2001.

David Greiner, Blas Galván and Gabriel Winter. Safety Systems Optimum Design by Multicriteria Evolutionary Algorithms, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 722--736, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.

D. Greiner, G. Winter and J.M. Emperador. Searching for an Efficient Method in Multiobjective Frame Optimisation using Evolutionary Algorithms, in K.J. Bathe (editor), Computational Fluid and Solid Mechanics 2003. Proceedings of the Second MIT Conference on Computational Fluid and Solid Mechanics, Vol. 2, pp. 2285--2290, Elsevier, The Netherlands, June 2003.

D. Greiner, J.M. Emperador and G. Winter. Single and multiobjective frame optimization by evolutionary algorithms and the auto-adaptive rebirth operator, Computer Methods in Applied Mechanics and Engineering, Vol. 193,Nos. 33--35, pp. 3711--3743, 2004.

D. Greiner, G. Winter, J.M. Emperador and B.Galván. A Comparative Analysis of "Controlled Elitism" in the NSGA-II Applied to Frame Optimization, in Tadeusz Burczyński and Andrzej Osyczka (editors), IUTAM Symposium on Evolutionary Methods in Mechanics, pp. 101--110, Kluwer Academic Publishers, Dordrecht/Boston/London, 2004, ISBN 1-4020-2266-2.

David Greiner, Gabriel Winter, José M. Emperador and Blas Galván. Gray Coding in Evolutionary Multicriteria Optimization: Application in Frame Structural Optimum Design, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 576--591, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.

David Juan Greiner Sánchez. Optimización Multiobjetivo de Pórticos Metálicos Mediante Algoritmos Evolutivos, PhD thesis, Universidad de las Plamas de Gran Canaria, Escuela Técnica Superior de Ingenieros Industriales, Departamentos de Informática y Sistemas, Matemática Aplicada e Ingeniería Civil, Las Palmas de Gran Canaria, Spain, May 2005 (in Spanish)(abstract in English) .

David Greiner, José M. Emperador, Gabriel Winter and Blas Galván. Improving Computational Mechanics Optimum Design Using Helper Objectives: An Application in Frame Bar Structures, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 575--589, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.

David Greiner, Jose M. Emperador, Gabriel Winter and Blas Galvan. A Population Replacement Strategy Analysis in Multi-objective Optimum Design of Structural Metallic Frames, in M. K. Nikolinakou, G. Tsekouras, V. Gekas and D. Pavlou New Aspects of Engineering Mechanics, Structures, and Engineering Geology, pp. 340--345, World Scientific and Engineering Acad and Soc, Heraklion, Greece, July 22-24, 2008, ISBN 978-960-6766-88-6.

David Greiner, Blas Galván, Juan J. Aznárez, Orlando Maeso and Gabriel Winter. Robust Design of Noise Attenuation Barriers with Evolutionary Multiobjective Algorithms and the Boundary Element Method, in Matthias Ehrgott, Carlos M. Fonseca, Xavier Gandibleux, Jin-Kao Hao and Marc Sevaux (editors), Evolutionary Multi-Criterion Optimization. 5th International Conference, EMO 2009, pp. 261--274, Springer. Lecture Notes in Computer Science Vol. 5467, Nantes, France, April 2009.

Gero Greiner. Single- and Multi-Objective Evolutionary Algorithms for Graph Bisectioning, in FOGA '09: Proceedings of the tenth ACM SIGEVO workshop on Foundations of genetic algorithms, pp. 29--38, ACM, Orlando, Florida, USA, January 2009.

David Greiner, Juan J. Aznarez, Orlando Maeso and Gabriel Winter. Single- and multi-objective shape design of Y-noise barriers using evolutionary computation and boundary elements, Advances in Engineering Software, Vol. 41, No. 2, pp. 368--378, February, 2010.

David Greiner, Blas Galván, José M. Emperador, Máximo Méndez and Gabriel Winter. Introducing Reference Point Using g-Dominance in Optimum Design Considering Uncertainties: An Application in Structural Engineering, in Ricardo H.C. Takahashi, Kalyanmoy Deb, Elizabeth F. Wanner and Salvatore Grecco (editors), Evolutionary Multi-Criterion Optimization, 6th International Conference, EMO 2011, pp. 389--403, Springer. Lecture Notes in Computer Science Vol. 6576, Ouro Preto, Brazil, April 2011.

David Greiner and Prabhat Hajela. Truss topology optimization for mass and reliability considerations-co-evolutionary multiobjective formulations, Structural and Multidisciplinary Optimization, Vol. 45, No. 4, pp. 589--613, April 2012.

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Zhihua Hu, Yongsheng Ding and Qing Shao. Immune co-evolutionary algorithm based partition balancing optimization for tobacco distribution system, Expert Systems With Applications, Vol. 36, No. 3, pp. 5248--5255, April 2009.

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Qingsong Hu, Lihong Xu and Erik D. Goodman. Dynamic multi-objective control of IPMCs propelled robot fish based on NSGA-II, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 1927--1928, ACM Press, Montreal, Canada, July 8--12, 2009. ISBN 978-1-60558-325-9 .

Haigen Hu, Lihong Xu and Qingsong Hu. Model-based Compromise Control of Greenhouse Climate using Pareto Optimization, in 2009 ACM SIGEVO Summit on Genetic and Evolutionary Computation (GEC'2009), pp. 217-222, ACM Press, Shanghai, China, June 12-14 2009. ISBN 978-1-60558-326-6.

Qingsong Hu, Lihong Xu and Erik Goodman. Non-even Spread NSGA-II and Its Application to Conflicting Multi-Objective Compatible Control, in 2009 ACM SIGEVO Summit on Genetic and Evolutionary Computation (GEC'2009), pp. 223-230, ACM Press, Shanghai, China, June 12-14 2009. ISBN 978-1-60558-326-6.

Dandan Hu, Chao Yang and Jun Yang. Budget constrained flow interception location model for congested systems, Journal of Systems Engineering and Electronics, Vol. 20, No. 6, pp. 1255--1262, December, 2009.

Zhi-Hua Hu, Yong-Sheng Ding, Xiao-Kun Yu, Wen-Bin Zhang and Qiao Yan. A Hybrid Neural Network and Immune Algorithm Approach for Fit Garment Design, Textile Research Journal, Vol. 79, No. 14, pp. 1319--1330, September, 2009.

Zhi-Hua Hu. A multiobjective immune algorithm based on a multiple-affinity model, European Journal of Operational Research, Vol. 202, No. 1, pp. 60-72, April 1, 2010.

Haigen Hu, Lihong Xu, Ruihua Wei and Bingkun Zhu. Multi-objective tuning of nonlinear PID controllers for greenhouse environment using Evolutionary Algorithms, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 3397--3402, IEEE Press, Barcelona, Spain, July 18--23, 2010.

Haigen Hu, Lihong Xu, Bingkun Zhu and Rhihua Wei. A Compatible Control Algorithm for Greenhouse Environment Control Based on MOCC Strategy, Sensors, Vol. 11, No. 3, pp. 3281--3302, March, 2011.

Haigen Hu, Lihong Xu, Ruihua Wei and Bingkun Zhu. Multi-Objective Control Optimization for Greenhouse Environment Using Evolutionary Algorithms, Sensors, Vol. 11, No. 6, pp. 5792--5807, June 2011.

Guang-hao Hu, Zhi-zhong Mao and Da-kuo He. Multi-objective optimization for leaching process using improved two-stage guide PSO algorithm, Journal of Central South University of Technology, Vol. 18, No. 4, pp. 1200--1210, August, 2011.

Mengqi Hu, Jeffery D. Weir and Teresa Wu. Decentralized operation strategies for an integrated building energy system using a memetic algorithm, European Journal of Operational Research, Vol. 217, No. 1, pp. 185--197, February 16, 2012.

Wang Hu and Gary G. Yen. Density Estimation for Selecting Leaders and Mantaining Archive in MOPSO, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 181--188, IEEE Press, Cancún, México, 20-23 June, 2013, ISBN 978-1-4799-0454-9.

Weiwei Hu, Adeel Butt, Ali Almansoori, Shapour Azarm and Ali Elkamel. Robust Multi-Objective Genetic Algorithm (RMOGA) with Online Approximation under Interval Uncertainty, in Gade Pandu Rangaiah and Adrián Bonilla-Petriciolet (editors), Multi-Objective Optimization in Chemical Engineering: Developments and Applications, Chapter 6, pp. 157--181, John Wiley & Sons, May, 2013, ISBN 978-1-118-34166-7.

Haigen Hu, Lihong Xu, Erik D. Goodman and Songwei Zeng. NSGA-II-based nonlinear PID controller tuning of greenhouse climate for reducing costs and improving performances, Neural Computing & Applications, Vol. 24, No. 3-4, pp. 927--936, March 2014.

Xiao-Bing Hu, Ming Wang and Mark S. Leeson. Calculating the Complete Pareto Front for a Special Class of Continuous Multi-Objective Optimization Problems, in 2014 IEEE Congress on Evolutionary Computation (CEC'2014), pp. 290--297, IEEE Press, Beijing, China, 6-11 July 2014, ISBN 978-1-4799-1488-3.

Wang Hu, Gary G. Yen and Xin Zhang. Sensitivity Analysis of Parallel Cell Coordinate System in Many-Objective Particle Swarm Optimization, in 2014 IEEE Congress on Evolutionary Computation (CEC'2014), pp. 2641--2648, IEEE Press, Beijing, China, 6-11 July 2014, ISBN 978-1-4799-1488-3.

Mengqi Hu, Jeffery D. Weir and Teresa Wu. An augmented multi-objective particle swarm optimizer for building cluster operation decisions, Applied Soft Computing, Vol. 25, pp. 347--359, December 2014.

Wang Hu and Gary G. Yen. Adaptive Multiobjective Particle Swarm Optimization Based on Parallel Cell Coordinate System, IEEE Transactions on Evolutionary Computation, Vol. 19, No. 1, pp. 1--18, February 2015.

YC Huang. Enhanced genetic algorithm-based fuzzy multi-objective approach to distribution network reconfiguration, IEE Proceedings-Generation Transmission And Distribution, Vol. 149, No. 5, pp. 615-620, September, 2002.

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V.L. Huang, P.N. Suganthan and J.J. Liang.Comprehensive learning particle swarm optimizer for solving multiobjective optimization problems, International Journal of Intelligent Systems, Vol. 21, No. 2, pp. 209--226, February 2006.

H.Z. Huang, Y.K. Gu and X.P. Du. An interactive fuzzy multi-objective optimization method for engineering design, Engineering Applications of Artificial Intelligence, Vol. 19, No. 5, pp. 451--460, August 2006.

Bo Huang, Li Yao and K. Raguraman. Bi-level GA and GIS for multi-objective TSP route planning, Transportation Planning and Technology, Vol. 29, No. 2, pp. 105--124, April 2006.

Hong-Zhong Huang, Jian Qu and Ming J. Zuo. A new method of system reliability multi-objective optimization using genetic algorithms, in 2006 Proceedings - Annual Reliability and Maintainability Symposium, Vols 1 and 2, pp. 278--283, IEEE, Newport Beach, Ca, January 23-26, 2006, ISBN 978-1-4244-0007-2.

Hong-Zhong Huang, Zhigang Tian and Ming J. Zuo. Intelligent Interactive Multiobjective Optimization of System Reliability, in Gregory Levitin (editor), Computational Intelligence in Reliability Engineering. Evolutionary Techniques in Reliability Analysis and Optimization, pp. 215--236, Springer, Heidelberg, 2007.

V. L. Huang, A. K. Qin, P. N. Suganthan and M. F. Tasgetiren. Multi-Objective Optimization Based on Self-Adaptive Differential Evolution Algorithm. in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 3601--3608, IEEE Press, Singapore, September 2007.

Liang Huang, Lei Sun, Ning Wang and Xiaoming Jin. Multiobjective optimization of simulated moving bed by tissue P system, Chinese Journal of Chemical Engineering, Vol. 15, No. 5, pp. 683--690, October 2007.

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Panfeng Huang, Gang Liu, Jianping Yuan and Yangsheng Xu. Multi-Objective Optimal Trajectory Planning of Space Robot Using Particle Swarm Optimization, in Fuchun Sun, Jianwei Zhang, Ying Tan, Jinde Cao and Wen Yu (editors), Advances in Neural Networks, 5th International Symposium on Neural Networks, ISNN 2008, pp. 171--179, Springer. Lecture Notes in Computer Science Vol. 5264, Beijing, China, September 24-28, 2008.

Hong-Zhong Huang, Jian Qu and Ming J. Zou. Genetic-Algorithm-based optimal apportionment of reliability and redundancy under multiple objectives, IIE Transactions, Vol. 41, No. 4, pp. 287--298, April 2009.

V. L. Huang, S. Z. Zhao, R. Mallipeddi and P. N. Suganthan. Multi-Objective Optimization Using Self-Adaptive Differential Evolution Algorithm, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 190--194, IEEE Press, Trondheim, Norway, May 2009.

Zhibao Huang, Min Xie, Yanhuang Jiang, Haitao Chen and Shaoshuai Wang. A MultiObjective Disaster Recovery Service Deployment Algorithm Based on Improved AntNet-CO, in 2009 Sixth Web Information Systems and Applications Conference, pp. 51--56, IEEE Computer Society Press, Xuzhou, Jiangsu, China, September 18-20, 2009.

Ting Huang and Jinhua Chen. Multiobjective Optimization in Mineral Resources Exploitation: Models and Case Studies, in Zhihua Cai, Zhenhua Li, Zhuo Kang and Yong Liu (editors), Advances in Computation and Intelligence, 4th International Symposium, ISICA 2009, pp. 309--317, Springer. Lecture Notes in Computer Science Vol. 5821, Huangshi, China, October 23-25, 2009.

Bingquan Huang, B. Buckley and T. -M. Kechadi. Multi-Objective Feature Selection by Using NSGA-II for Customer Churn Prediction in Telecommunications, Expert Systems With Applications, Vol. 37, No. 5, pp. 3638--3646, May, 2010.

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Amitay Isaacs, Tapabrata Ray and Warren Smith. An Evolutionary Algorithm with Spatially Distributed Surrogates for Multiobjective Optimization, in Marcus Randall, Hussein A. Abbass and Janet Wiles (editors), Progress in Artificial Life, Third Australian Conference, ACAL 2007, pp. 257--268, Springer. Lecture Notes in Artificial Intelligence Vol. 4828, Gold Coast, Australia, December 4-6, 2007.

Amitay Isaacs, Tapabrata Ray and Warren Smith. Blessings of Maintaining Infeasible Solutions for Constrained Multi- Objective Optimization Problems, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 2785--2792, IEEE Service Center, Hong Kong, June 2008.

Amitay Isaacs, Tapabrata Ray and Warren Smith. Memetic Algorithm for Dynamic Bi-objective Optimization Problems, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 1707--1713, IEEE Press, Trondheim, Norway, May, 2009.

Amitay Isaacs. Development of optimization methods to solve computationally expensive problems, PhD thesis, School of Engineering and Information Technology, University College, University of New South Wales, Australian Defence Force Academy, Canberra, Australia, August 2009 (abstract).

P. Isasi, A. Sanchis, J.M. Molina and A. Berlanga. Hierarchical Genetic Algorithms for Composite Laminate Panels Stress Optimisation, in IEEE International Conference on Systems, Man and Cybernetics, Vol. 4, pp. 447--451, 1999.

A. H. Isfahani, S. Vaez-Zadeh and M. A. Rahman. Performance improvement of permanent magnet machines by modular poles, IET Electric Power Applications, Vol. 3, No. 4, pp. 343--351, July, 2009.

Hiroyuki Ishibashi, Hernán E. Aguirre, Kiyoshi Tanaka and Tatsuo Sugimura. Multi-objective Optimization with Improved Genetic Algorithm, in 2000 International Conference on Systems, Man and Cybernetics, Vol. 5, pp. 3852--3857, IEEE Press, 2000.

Hisao Ishibuchi, Tadahiko Murata and I. B. Tursken. Selecting Linguistic Classification Rules by Two-Objective Genetic Algorithms. In Proceedings of the 1995 IEEE International Conference on Systems, Man and Cybernetics, pages 1410-1415, Vancouver, Canada, October 1995. IEEE.

Hisao Ishibuchi and Tadahiko Murata. Multi-Objective Genetic Local Search Algorithm. In Toshio Fukuda and Takeshi Furuhashi, editors, Proceedings of the 1996 International Conference on Evolutionary Computation, pages 119-124, Nagoya, Japan, 1996. IEEE.

Hisao Ishibuchi, Tadahiko Murata and I. B. Tursken. Single-Objective and Two-Objective Genetic Algorithms for Selecting Linguistic Rules for Pattern Classification Problems. Fuzzy Sets and Systems, 89(2):135-150, July 1997.

Hisao Ishibuchi and Tadahiko Murata. Minimizing the Fuzzy Rule and Maximizing Its Performance by a Multi-Objective Genetic Algorithm, In Proceedings of the 6th International Conference on Fuzzy Systems, pages 259-264, Barcelona, Spain, July 1997.

Hisao Ishibuchi and Tadahiko Murata. Multi-Objective Genetic Local Search Algorithm and Its Application to Flowshop Scheduling. IEEE Transactions on Systems, Man and Cybernetics---Part C: Applications and Reviews, 28(3):392-403, August 1998.

Hisao Ishibuchi and Tadahiko Murata. Multi-Objective Genetic Local Search for Minimizing the Number of Fuzzy Rules for Pattern Classification Problems. In Proceedings of the 6th IEEE International Conference on Fuzzy Systems, pages 1100-1105, Alaska, USA, May 1998.

Hisao Ishibuchi and Tomoharu Nakashima. Evolution of Reference Sets in Nearest Neighbor Classification. In B. McKay, X. Yao, C. S. Newton, J.-H. Kim and T. Furuhashi, editors, Simulated Evolution and Learning. Second Asia-Pacific Conference on Simulated Evolution and Learning, SEAL'98, Canberra, Australia, 1998. Lecture Notes in Computer Science 1585, Springer-Verlag.

Hisao Ishibuchi, Tadahiko Murata and Mitsuo Gen. Performance Evaluation of Fuzzy Rule-Based Classification Systems Obtained by Multi-Objective Genetic Algorithms. Computers & Industrial Engineering, 35(3-4):575-578, December 1998.

Hisao Ishibuchi, Tomoharu Nakashima and Tetsuya Kuroda. A Hybrid Fuzzy GBML Algorithm for Designing Compact Fuzzy Rule-Based Classification Systems. In Proceedings of 9th IEEE International Conference on Fuzzy Systems, pages 706-711, San Antonio, Texas, May 7-10 2000.

Hisao Ishibuchi, Tomoharu Nakashima and Tetsuya Kuroda. Minimizing the Number of Fuzzy Rules by Fuzzy Genetics-Based Machine Learning for Pattern Classification Problems. In Proceedings of the 8th Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, pages 96-103, Madrid, Spain, July 3-7 2000.

Hisao Ishibuchi and Tomoharu Nakashima. Linguistic Rule Extraction by Genetics-Based Machine Learning. In Darrell Whitley, David Goldberg, Erick Cantú-Paz, Lee Spector, Ian Parmee and Hans-Georg Beyer, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2000), pages 195--202, San Francisco, California, 2000. Morgan Kaufmann.

Hisao Ishibuchi and Tomoharu Nakashima. Multi-Objective Pattern and Feature Selection by a Genetic Algorithm. In Darrell Whitley, David Goldberg, Erick Cantú-Paz, Lee Spector, Ian Parmee and Hans-Georg Beyer, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2000), pages 1069-1076, San Francisco, California, 2000. Morgan Kaufmann.

Hisao Ishibuchi and Tomoharu Nakashima. Three-Objective Optimization in Linguistic Function Approximation, Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), Vol. 1, IEEE Service Center, Piscataway, New Jersey, pp. 340--347, May 2001.

Hisao Ishibuchi, Tomoharu Nakashima and Tadahiko Murata. Three-objective genetics-based machine learning for linguistic rule extraction, Information Sciences, Vol. 136, Nos. 1--4, pp. 109--133, August 2001.

Hisao Ishibuchi and Takashi Yamamoto. Fuzzy Rule Selection by Data Mining Criteria and Genetic Algorithms, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 399--406, Morgan Kaufmann Publishers, San Francisco, California, July 2002.

Hisao Ishibuchi, Tadashi Yoshida and Tadahiko Murata. Balance between Genetic Search and Local Search in Hybrid Evolutionary Multi-Criterion Optimization Algorithms, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 1301--1308, Morgan Kaufmann Publishers, San Francisco, California, July 2002.

Hisao Ishibuchi, Tadashi Yoshida and Tadahiko Murata. Selection of Initial Solutions for Local Search in Multiobjective Genetic Local Search, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 950--955, IEEE Service Center, Piscataway, New Jersey, May 2002

Hisao Ishibuchi and Tadashi Yoshida, Hybrid Evolutionary Multi-Objective Optimization Algorithms, in A. Abraham, J. Ruiz-del-Solar and M. Köppen (eds), Soft Computing Systems: Design, Management and Applications (Frontiers in Artificial Intelligence and Applications, Volume 87), IOS Press, ISBN 1-58603-297-6,pp. 163--172, 2002.

Hisao Ishibuchi and Tadashi Yoshida. Implementation of Local Search in Hybrid Multi-Objective Genetic Algorithms: A Case Study on Flowshop Scheduling, in Lipo Wang, Kay Chen Tan, Takeshi Furuhashi, Jong-Hwan Kim and Xin Yao (editors), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02), pp. 193--197, Vol. 1, Nanyang Technical University, Orchid Country Club, Singapore, November 2002.

Hisao Ishibuchi, Tadashi Yoshida and Tadahiko Murata. Balance Between Genetic Search and Local Search in Memetic Algorithms for Multiobjective Permutation Flowshop Scheduling, IEEE Transactions on Evolutionary Computation, Vol. 7, No. 2, pp. 204--223, April 2003.

Hisao Ishibuchi and Youhei Shibata. An Empirical Study on the Effect of Mating Restriction on the Search Ability of EMO Algorithms, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 433--447, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.

Hisao Ishibuchi and Takashi Yamamoto. Effects of Three-Objective Genetic Rule Selection on the Generalization Ability of Fuzzy Rule-Based Systems, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 608--622, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.

Hisao Ishibuchi and Youhei Shibata. A Similarity-Based Mating Scheme for Evolutionary Multiobjective Optimization, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part I, pp. 1065--1076, Springer. Lecture Notes in Computer Science Vol. 2723, July 2003.

Hisao Ishibuchi and Takashi Yamamoto. Evolutionary Multiobjective Optimization for Generating an Ensemble of Fuzzy Rule-Based Classifiers, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part I, pp. 1077--1088, Springer. Lecture Notes in Computer Science Vol. 2723, July 2003.

Hisao Ishibuchi and Shiori Kaige. Comparison of Multiobjective Memetic Algorithms on 0/1 Knapsack Problems, in Alwyn Barry (editor), 2003 Genetic and Evolutionary Computation Conference. Workshop Program, pp. 222--227, AAAI, Chicago, Illinois, USA, July 2003.

Hisao Ishibuchi and Shiori Kaige. Effects of Repair Procedures on the Performance of EMO Algorithms for Multiobjective 0/1 Knapsack Problems, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 4 pp. 2254--2261, IEEE Press, Canberra, Australia, December 2003.

Hisao Ishibuchi and Kaname Narukawa. Some Issues on the Implementation of Local Search in Evolutionary Multiobjective Optimization, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part I, Springer-Verlag, Lecture Notes in Computer Science Vol. 3102, pp. 1246--1258, Seattle, Washington, USA, June 2004.

Hisao Ishibuchi and Youhei Shibata. Mating Scheme for Controlling the Diversity-Convergence Balance for Multiobjective Optimization, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part I, Springer-Verlag, Lecture Notes in Computer Science Vol. 3102, pp. 1259--1271, Seattle, Washington, USA, June 2004.

Hisao Ishibuchi and Takashi Yamamoto. Fuzzy Rule Selection by Multi-Objective Genetic Local Search Algorithms and Rule Evaluation Measures in Data Mining, Fuzzy Sets and Systems, Vol. 141, No. 1, pp. 59--88, January 2004.

H. Ishibuchi and S. Kaige. Implementation of Simple Multiobjective Memetic Algorithms and Its Application to Knapsack Problems, International Journal of Hybrid Intelligent Systems, Vol. 1, pp. 22--35, 2004.

Hisao Ishibuchi and Kaname Narukawa. Performance Evaluation of Simple Multiobjective Genetic Local Search Algorithms on Multiobjective 0/1 Knapsack Problems, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 441--448, Portland, Oregon, USA, June 2004.

Hisao Ishibuchi and Satoshi Namba. Evolutionary Multiobjective Knowledge Extraction for High-Dimensional Pattern Classification Problems, in Xin Yao et al. (editors), Parallel Problem Solving from Nature - PPSN VIII, Springer-Verlag, Lecture Notes in Computer Science, Vol. 3242, pp. 1123--1132, Birmingham, UK, September 2004.

Hisao Ishibuchi and Youhei Shibata. Single-Objective and Multi-Objective Evolutionary Flowshop Scheduling, in Carlos A. Coello Coello and Gary B. Lamont (editors), Applications of Multi-Objective Evolutionary Algorithms, pp. 529--554, World Scientific, Singapore, 2004.

Hisao Ishibuchi and Kaname Narukawa. Recombination of Similar Parents in EMO Algorithms, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 265--279, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.

Hisao Ishibuchi, Shiori Kaige and Kaname Narukawa. Comparison Between Lamarckian and Baldwinian Repair on Multiobjective 0/1 Knapsack Problems, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 370--385, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.

Hisao Ishibuchi and Kaname Narukawa. Spatial Implementation of Evolutionary Multiobjective Algorithms with Partial Lamarckian Repair for Multiobjective Knapsack Problems, in Nadia Nedjah, Luiza M. Mourelle, Marley M.B.R. Vellasco, Ajith Abraham and Mario Köppen (editors), Fifth International Conference on Hybrid Intelligent Systems (HIS'05), pp. 265--207, IEEE Computer Society, Los Alamitos, California, USA, November 2005.

Hisao Ishibuchi and Yusuke Nojima. Performance Evaluation of Evolutionary Multiobjective Approaches to the Design of Fuzzy Rule-Based Ensemble Classifiers, in Nadia Nedjah, Luiza M. Mourelle, Marley M.B.R. Vellasco, Ajith Abraham and Mario Köppen (editors), Fifth International Conference on Hybrid Intelligent Systems (HIS'05), pp. 271--276, IEEE Computer Society, Los Alamitos, California, USA, November 2005.

Hisao Ishibuchi and Kaname Narukawa. Comparison of Evolutionary Multiobjective Optimization with Reference Solution-Based Single-Objective Approach, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 787--794, Vol. 1, ACM Press, New York, USA, June 2005.

Hisao Ishibuchi, Kaname Narukawa and Yusuke Nojima. An Empirical Study on the Handling of Overlapping Solutions in Evolutionary Multiobjective Optimization, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 817--824, Vol. 1, ACM Press, New York, USA, June 2005.

Hisao Ishibuchi, Tomoharu Nakashima and Manabu Nii, Classification and Modeling with Linguistic Information Granules, Springer, Berlin/Heidelberg/New York, 2005, ISBN 3-540-20767-8.

Hisao Ishibuchi, Tsutomu Doi and Yusuke Nojima. Incorporation of Scalarizing Fitness Functions into Evolutionary Multiobjective Optimization Algorithms, in Thomas Philip Runarsson, Hans-Georg Beyer, Edmund Burke, Juan J. Merelo-Guervós, L. Darrell Whitley and Xin Yao (editors), Parallel Problem Solving from Nature - PPSN IX, 9th International Conference, pp. 493--502, Springer. Lecture Notes in Computer Science Vol. 4193, Reykjavik, Iceland, September 2006.

Hisao Ishibuchi, Yusuke Nojima, Kaname Narukawa and Tsutomo Doi. Incorporation of Decision Maker's Preferences into Evolutionary Multiobjective Optimization Algorithms, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 741--742, Vol. 1, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .

Hisao Ishibuchi, Yusuke Nojima and Isao Kuwajima. Multiobjective Genetic Rule Selection as a Data Mining Postprocessing Procedure, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 1591--1592, Vol. 2, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .

Hisao Ishibuchi and Yusuke Nojima. Fuzzy Ensemble Design through Multi-Objective Fuzzy Rule Selection, in Yaochu Jin (Editor), Multi-Objective Machine Learning, pp. 507--530, Springer. Studies in Computational Intelligence, Volume 16, Berlin, 2006.

Hisao Ishibuchi, Yusuke Nojima and Tsutomu Doi. Comparison between Single-Objective and Multi-Objective Genetic Algorithms: Performance Comparison and Performance Measures, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 3959--3966, IEEE, Vancouver, BC, Canada, July 2006.

Hisao Ishibuchi, Yusuke Nojima and Isao Kuwajima. Finding simple fuzzy classification systems with high interpretability through multiobjective rule selection, in Knowledge-Based Intelligent Information and Engineering Systems, Pt 2, Proceedings, pp. 86--93, Springer, Lecture Notes in Artificial Intelligence Vol. 4252, 2006.

Hisao Ishibuchi and Yusuke Nojima. Analysis of interpretability-accuracy tradeoff of fuzzy systems by multiobjective fuzzy genetics-based machine learning, International Journal of Approximate Reasoning, Vol. 44, No. 1, pp. 4--31, January 2007.

Hisao Ishibuchi and Yusuke Nojima. Optimization of Scalarizing Functions Through Evolutionary Multiobjective Optimization, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 51--65, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto and Ken Ohara. Effects of the Use of Non-Geometric Binary Crossover on Evolutionary Multiobjective Optimization, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 829--836, Vol. 1, ACM Press, London, UK, July 2007.

Hisao Ishibuchi, Isao Kuwajima and Yusuke Nojima. Relation between Pareto-Optimal Fuzzy Rules and Pareto-Optimal Fuzzy Rule Sets, in Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM'2007), pp. 42--49, IEEE Press, Honolulu, Hawaii, USA, April 2007.

Hisao Ishibuchi, Yasuhiro Hitotsuyanagi and Yusuke Nojima. An Empirical Study on the Specification of the Local Search Application Probability in Multiobjective Memetic Algorithms, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 2788--2795, IEEE Press, Singapore, September 2007.

Hisao Ishibuchi, Noritaka Tsukamoto and Yusuke Nojima. Iterative Approach to Indicator-Based Multiobjective Optimization, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 3967--3974, IEEE Press, Singapore, September 2007.

Hisao Ishibuchi. Multiobjective genetic fuzzy systems: Review and future research directions, in 2007 IEEE International Conference on Fuzzy Systems, pp. 911--916, IEEE Press, London, England, July 23-26, 2007, ISBN 978-1-4244-1209-9.

Hisao Ishibuchi. Evolutionary multiobjective design of fuzzy rule-based systems, in 2007 IEEE Symposium on Foundations of Computational Intelligence, Vols 1 and 2, pp. 9--16, IEEE, Honolulu, Hi, April 01-05, 2007, ISBN 978-1-4244-0703-3.

Hisao Ishibuchi, Isao Kuwajima and Yusuke Nojima. Multiobjective Classification Rule Mining , in Joshua Knowles, David Corne and Kalyanmoy Deb (Editors), Multi-Objective Problem Solving from Nature: From Concepts to Applications, pp. 219--240, Springer, Berlin, 2008, ISBN 978-3-540-72963-1 .

Hisao Ishibuchi, Kaname Narukawa, Noritaka Tsukamoto and Yusuke Nojima. An empirical study on similarity-based mating for evolutionary multiobjective combinatorial optimization, European Journal of Operational Research, Vol. 188, No. 1, pp. 57--75, July 1, 2008.

Hisao Ishibuchi, Isao Kuwajima and Yusuke Nojima. Evolutionary Multi-objective Rule Selection for Classification Rule Mining, in Ashish Ghosh, Satchidananda Dehuri and Susmita Ghosh, editors, Multi-objective Evolutionary Algorithms for Knowledge Discovery from Data Bases, pp. 47--70, Springer, Berlin, 2008, ISBN 978-3-540-77466-2 .

Hisao Ishibuchi, Yasuhiro Hitotsuyanagi, Noritaka Tsukamoto and Yusuke Nojima. Use of Heuristic Local Search for Single-Objective Optimization in Multiobjective Memetic Algorithms, in Günter Rudolph, Thomas Jansen, Simon Lucas, Carlo Poloni and Nicola Beume (editors), Parallel Problem Solving from Nature--PPSN X, pp. 743--752, Springer, Lecture Notes in Computer Science Vol. 5199, Dortmund, Germany, September 2008.

Hisao Ishibuchi, Noritaka Tsukamoto, Yasuhiro Hitotsuyanagi and Yusuke Nojima. Effectiveness of Scalability Improvement Attempts on the Performance of NSGA-II for Many-Objective Problems, in 2008 Genetic and Evolutionary Computation Conference (GECCO'2008), pp. 649--656, ACM Press, Atlanta, USA, July 2008, ISBN 978-1-60558-131-6 .

Hisao Ishibuchi, Noritaka Tsukamoto and Yusuke Nojima. Evolutionary many-objective optimization: A short review, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 2424--2431, IEEE Service Center, Hong Kong, June 2008.

Hisao Ishibuchi, Yusuke Nojima and Isao Kuwajima. Evolutionary Multiobjective Design of Fuzzy Rule-Based Classifiers, in John Fulcher and Lakhmi C. Jain (editors), Computational Intelligence: A Compendium, pp. 641--685, Springer, Berlin, Germany, Studies in Computational Intelligence Vol. 115, 2008, ISBN 978-3-540-78293-3.

Hisao Ishibuchi, Yasuhiro Hitotsuyanagi and Yusuke Nojima. Scalability of Multiobjective Genetic Local Search to Many-Objective Problems: Knapsack Problem Case Studies, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 3587--3594, IEEE Service Center, Hong Kong, June 2008.

Hisao Ishibuchi, Yusuke Nojima and Isao Kuwajima. Evolutionary Multiobjective Design of Fuzzy Rule-Based Classifiers, in John Fulcher and L. C. Jain (editors), Computational Intelligence: A Compendium, pp. 642--685, Springer, Studies in Computational Intelligence (SCI), Berlin, 2008, ISBN 978-3-540-78292-6.

Hisao Ishibuchi, Noritaka Tsukamoto and Yusuke Nojima. Evolutionary many-objective optimization, in Evolutionary many-objective optimization, pp. 45--50, IEEE, Witten Bommerhalz, Germany, March 04-07, 2008, ISBN 978-1-4244-1612-7.

Hisao Ishibuchi, Yasuhiro Hitotsuyanagi, Noriataka Tsukamoto and Yusuke Nojima. Use of biased neighborhood structures in multiobjective memetic algorithms, Soft Computing, Vol. 13, No. 8-9, pp. 795--810, July 2009.

Hisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto and Yusuke Nojima. Adaptation of Scalarizing Funtions in MOEA/D: An Adaptive Scalarizing Funtion-Based Multiobjective Evolutionary Algorithm, in Matthias Ehrgott, Carlos M. Fonseca, Xavier Gandibleux, Jin-Kao Hao and Marc Sevaux (editors), Evolutionary Multi-Criterion Optimization. 5th International Conference, EMO 2009, pp. 438--452, Springer. Lecture Notes in Computer Science Vol. 5467, Nantes, France, April 2009.

Hisao Ishibuchi, Noritaka Tsukamoto, Yuji Sakane and Yusuke Nojima. Hypervolume Approximation Using Achievement Scalarizing Functions for Evolutionary Many-Objective Optimization, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 530--537, IEEE Press, Trondheim, Norway, May 2009.

Hisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto and Yusuke Nojima. Single-objective and multi-objective formulations of solution selection for hypervolume maximization, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 1831--1832, ACM Press, Montreal, Canada, July 8--12 2009. ISBN 978-1-60558-325-9 .

Hisao Ishibuchi, Yasuhiro Hitotsuyanagi, Noritaka Tsukamoto and Yusuke Nojima. Implementation of Multiobjective Memetic Algorithms for Combinatorial Optimization Problems: A Knapsack Problem Case Study, in Chi-Keong Goh, Yew-Soon Ong, and Kay Chen Tan (editors), Multi-Objective Memetic Algorithms, chapter 2, pp. 27--49, Springer, Studies in Computational Intelligence, Vol. 171, Berlin, Germany, 2009. ISBN 978-3-540-88050-9.

Hisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto and Yusuke Nojima. Effects of Using Two Neighborhood Structures on the Performance of Cellular Evolutionary Algorithms for Many-Objective Optimization, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 2508--2515, IEEE Press, Trondheim, Norway, May, 2009.

Hisao Ishibuchi and Yusuke Nojima. Multiobjective Genetic Fuzzy Systems, in Christine L. Mumford and Lakhmi C. Jain (editors), Computational Intelligence, Collaboration, Fusion and Emergence, pp. 131--173, Springer. Intelligent Systems Reference Library Vol. 1, Berlin, Germany, 2009, ISBN 978-3-642-01798-8.

Hisao Ishibuchi, Noritaka Tsukamoto and Yusuke Nojima. Empirical Analysis of Using Weighted Sum Fitness Functions in NSGA-II for Many-Objective 0/1 Knapsack Problems, in UKSIM 2009: Eleventh International Conference on Computer Modelling and Simulation, pp. 71--76, IEEE Computer Society, Cambridge, England, March 25-27, 2009.

Hisao Ishibuchi, Yusuke Nakashima and Yusuke Nojima. Search Ability of Evolutionary Multiobjective Optimization Algorithms for Multiobjective Fuzzy Genetics-Based Machine Learning, in 2009 IEEE International Conference on Fuzzy Systems, Vols 1-3, pp. 1724--1729, IEEE, Jeju Isl, South Korea, August 20-24, 2009, ISBN 978-1-4244-3596-8.

Hisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto and Yusuke Nojima. Selecting a Small Number of Representative Non-Dominated Solutions by a Hypervolume-Based Solution Selection Approach, in 2009 IEEE International Conference on Fuzzy Systems, Vols 1-3, pp. 1609--1614, IEEE, Jeju Isl, South Korea, August 20-24, 2009, ISBN 978-1-4244-3596-8.

Hisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto and Yusuke Nojima. Simultaneous Use of Different Scalarizing Functions in MOEA/D, in Proceedings of the 12th annual conference on Genetic and Evolutionary Computation (GECCO'2010), pp. 519--526, ACM Press, Portland, Oregon, USA, July 7--11, 2010, ISBN 978-1-4503-0072-8.

Hisao Ishibuchi, Noritaka Tsukamoto, Yuji Sakane and Yusuke Nojima. Indicator-Based Evolutionary Algorithm with Hypervolume Approximation by Achievement Scalarizing Functions, in Proceedings of the 12th annual conference on Genetic and Evolutionary Computation (GECCO'2010), pp. 527--534, ACM Press, Portland, Oregon, USA, July 7--11, 2010, ISBN 978-1-4503-0072-8.

Hisao Ishibuchi, Yasuhiro Hitotsuyanagi, Yoshihiko Wakamatsu and Yusuke Nojima. How to Choose Solutions for Local Search in Multiobjective Combinatorial Memetic Algorithms. in Robert Schaefer, Carlos Cotta, Joanna Kolodziej and Günter Rudolph (editors) Parallel Problem Solving from Nature--PPSN XI, 11th International Conference, Proceedings, Part I, pp. 516--525, Springer, Lecture Notes in Computer Science Vol. 6238, Kraków, Poland, September, 2010.

Hisao Ishibuchi, Yasuhiro Hitotsuyanagi, Noritaka Tsukamoto and Yusuke Nojima. Many-Objective Test Problems to Visually Examine the Behavior of Multiobjective Evolution in a Decision Space. in Robert Schaefer, Carlos Cotta, Joanna Kolodziej, and Günter Rudolph (editors), Parallel Problem Solving from Nature--PPSN XI, 11th International Conference, Proceedings, Part II, pp. 91--100, Springer, Lecture Notes in Computer Science Vol. 6239, Kraków, Poland, September, 2010.

Hisao Ishibuchi, Noritaka Tsukamoto and Yusuke Nojima. Diversity Improvement by Non-Geometric Binary Crossover in Evolutionary Multiobjective Optimization, IEEE Transactions on Evolutionary Computation, Vol. 14, No. 6, pp. 985--998, December, 2010.

Hisao Ishibuchi, Yutaka Kaisho and Yusuke Nojima. Design of Linguistically Interpretable Fuzzy Rule-Based Classifiers: A Short Review and Open Questions, Journal of Multiple-Valued Logic and Soft Computing, Vol. 17, No. 2--3, pp. 101--134, 2011.

Hisao Ishibuchi, Yasuhiro Hitotsuyanagi, Hiroyuki Ohyanagi and Yusuke Nojima. Effects of the Existence of Highly Correlated Objectives on the Behavior of MOEA/D, in Ricardo H.C. Takahashi, Kalyanmoy Deb, Elizabeth F. Wanner and Salvatore Grecco (editors), Evolutionary Multi-Criterion Optimization, 6th International Conference, EMO 2011, pp. 166--181, Springer. Lecture Notes in Computer Science Vol. 6576, Ouro Preto, Brazil, April 2011.

Hisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto and Yusuke Nojima. Implementation of cellular genetic algorithms with two neighborhood structures for single-objective and multi-objective optimization, Soft Computing, Vol. 15, No. 9, pp. 1749--1767, September, 2011.

Hisao Ishibuchi, Naoya Akedo and Yuseke Nojima. A Many-Objective Test Problem for Visually Examining Diversity Maintenance Behavior in a Decision Space, in 2011 Genetic and Evolutionary Computation Conference (GECCO'2011), pp. 649--656, ACM Press, Dublin, Ireland, July 12-16, 2011.

Hisao Ishibuchi, Yusuke Nakashima and Yusuke Nojima. Performance evaluation of evolutionary multiobjective optimization algorithms for multiobjective fuzzy genetics-based machine learning, Soft Computing, Vol. 15, No. 12, pp. 2415--2434, December 2011.

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Dongmin Kim, Soo-Yong Shin, In-Hee Lee and Byoung-Tak Zhang. NACST/Seq: A Sequence Design System with Multiobjective Optimization, in Masami Hagiya and Azuma Ohuchi (Editors), DNA Computing, 8th International Workshop on DNA Based Computers (DNA8), pp. 242--251, Springer, Lecture Notes in Computer Science. Volume 2568, Sapporo, Japan, 2003.

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Keehyung Kim, R. I. (Bob) McKay and Byung-Ro Moon. Multiobjective Evolutionary Algorithms for Dynamic Social Network Clustering, in Proceedings of the 12th annual conference on Genetic and Evolutionary Computation (GECCO'2010), pp. 1179--1186, ACM Press, Portland, Oregon, USA, July 7--11, 2010. ISBN 978-1-4503-0072-8.

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Mark P. Kleeman, Gary B. Lamont, Adam Cooney and Thomas R. Nelson. A Multi-tiered Memetic Multiobjective Evolutionary Algorithm for the Design of Quantum Cascade Lasers, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 186--200, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.

Mark P. Kleeman, Gary B. Lamont, Kenneth M. Hopkinson and Scott R. Graham. Solving Multicommodity Capacitated Network Design Problems using a Multiobjective Evolutionary Algorithm, in IEEE Symposium on Computational Intelligence in Security and Defense Applications (CISDA 2007), pp. 33--41, IEEE Press, April 2007.

Mark P. Kleeman and Gary B. Lamont. Scheduling of Flow-Shop, Job-Shop and Combined Scheduling Problems using MOEAs with Fixed and Variable Length Chromosomes, in Keshav P. Dahal, Kay Chen Tan and Peter I Cowling (editors), Evolutionary Scheduling, pp. 49--99, Springer, Studies in Computational Intelligence (SCI), Berlin, 2007, ISBN 3-540-48582-1 .

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M. V. Klymenko and F. Remacle. Quantum dot ternary-valued full-adder: Logic synthesis by a multiobjective design optimization based on a genetic algorithm, Journal of Applied Physics, Article Number: 164316, Vol. 116, No. 16, October 28, 2014.

Mark R. Knarr, Mark N. Goltz, Gary B. Lamont and Junqi Huang. In Situ Bioremediation of Perchlorate-Contaminated Groundwater using a Multi-Objective Parallel Evolutionary Algorithm, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 3, pp. 1604--1611, IEEE Press, Canberra, Australia, December 2003.

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Joshua T. Knight, Frank T. Zahradka, David J. Singer and Matthew D. Collette. Multiobjective Particle Swarm Optimization of a Planing Craft with Uncertainty, Journal of Ship Production and Design, Vol. 30, No. 4, pp. 194--200, November 2014.

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Joshua D. Knowles and David W. Corne. The Pareto Archived Evolution Strategy: A New Baseline Algorithm for Multiobjective Optimisation, In 1999 Congress on Evolutionary Computation, pages 98-105, Washington, D.C., July 1999. IEEE Service Center.

Joshua D. Knowles and David W. Corne. Assessing the Performance of the Pareto Archived Evolution Strategy, In Annie S. Wu, editor, Proceedings of the 1999 Genetic and Evolutionary Computation Conference. Workshop Program, pages 123-124, Orlando, Florida, July 1999.

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Joshua Knowles and David Corne. M-PAES: A Memetic Algorithm for Multiobjective Optimization,In 2000 IEEE Congress on Evolutionary Computation, vol. 1, pages 325-332, Piscataway, New Jersey, July 2000. IEEE Service Center.

Joshua D. Knowles and David W. Corne. A Comparison of Diverse Approaches to Memetic Multiobjective Combinatorial Optimization,In Proceedings of the 2000 Genetic and Evolutionary Computation Conference Workshop Program, pages 103-108, Las Vegas, Nevada, July 2000.

Joshua D. Knowles, David W. Corne and Martin J. Oates. On the Assessment of Multiobjective Approaches to the Adaptive Distributed Database Management Problem, In Marc Schoenauer, Kalyanmoy Deb, Günter Rudolph, Xin Yao, Evelyne Lutton, J. J. Merelo and Hans-Paul Schwefel (editors), Proceedings of the Sixth International Conference on Parallel Problem Solving from Nature (PPSN VI), pages 869-878, Berlin, September 2000. Springer.

Joshua D. Knowles, David W. Corne and Martin J. Oates. The Pareto-Envelope based Selection Algorithm for Multiobjective Optimization, In Proceedings of the Sixth International Conference on Parallel Problem Solving from Nature (PPSN VI), pages 839-848, Berlin, September 2000. Springer.

Joshua D. Knowles, Martin J. Oates and David W. Corne. Multiobjective Evolutionary Algorithms Applied to two Problems in Telecommunications, BT Technology Journal, 18(4):51-64, October 2000.

Joshua D. Knowles, Richard A. Watson and David W. Corne. Reducing Local Optima in Single-Objective Problems by Multi-objectivization. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 268-282. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001.

Joshua D. Knowles and David W. Corne. Benchmark Problem Generators and Results for the Multiobjective Degree-Constrained Minimum Spanning Tree Problem, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 424--431, Morgan Kaufmann Publishers, San Francisco, California, July 2001.

Joshua D. Knowles and David W. Corne. A Comparative Assessment of Memetic, Evolutionary and Constructive Algorithms for the Multiobjective d-MST Problem, 2001 Genetic and Evolutionary Computation Conference. Workshop Program, San Francisco, California, pp. 162--167, July 2001.

Joshua D. Knowles and David W. Corne. A Comparison of Encodings and Algorithms for Multiobjective Minimum Spanning Tree Problems, Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), Vol. 1, IEEE Service Center, Piscataway, New Jersey, pp. 544--551, May 2001.

Joshua D. Knowles Local-Search and Hybrid Evolutionary Algorithms for Pareto Optimization, PhD Thesis, The University of Reading, Reading, UK, January 2002.

Joshua Knowles and David Corne. On Metrics for Comparing Nondominated Sets, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 711--716, IEEE Service Center, Piscataway, New Jersey, May 2002.

Joshua D. Knowles and David W. Corne. Enumeration of Pareto optimal multi-criteria spanning trees - a proof of the incorrectness of Zhou and Gen's proposed algorithm, European Journal of Operational Research, Volume 143, Issue 3, pp. 543--547, December 2002.

Joshua D. Knowles and David W. Corne. Towards landscape analyses to inform the design of a hybrid local search for the multiobjective quadratic assignment problem, In A. Abraham, J. Ruiz-del-Solar, M. Köppen (eds.), Soft Computing Systems: Design, Management and Applications, IOS Press, Amsterdam, pp. 271--279, ISBN 1-58603-297-6, 2002.

Joshua Knowles and David Corne. Properties of an Adaptive Archiving Algorithm for Storing Nondominated Vectors, IEEE Transactions on Evolutionary Computation, Vol. 7, No. 2, pp. 100--116, April 2003.

Joshua Knowles and David Corne. Instance Generators and Test Suites for the Multiobjective Quadratic Assignment Problem, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 295--310, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.

Joshua D. Knowles, David W. Corne and Mark Fleischer. Bounded Archiving using the Lebesgue Measure, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 4, pp. 2490--2497, IEEE Press, Canberra, Australia, December 2003.

Joshua Knowles and David Corne. Bounded Pareto Archiving: Theory and Practice, in Xavier Gandibleux, Marc Sevaux, Kenneth Sörensen and Vincent T'kindt (editors), Metaheuristics for Multiobjective Optimisation, pp. 39--64, Springer. Lecture Notes in Economics and Mathematical Systems Vol. 535, Berlin, 2004.

Joshua Knowles. ParEGO: A Hybrid Algorithm with On-line Landscape Approximation for Expensive Multiobjective Optimization Problems, Technical Report No. TR-COMPSYSBIO-2004-01, University of Manchester, UK, September 2004.

Joshua Knowles and Evan J. Hughes. Multiobjective Optimization on a Budget of 250 Evaluations, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 176--190, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.

Joshua Knowles and David Corne. Memetic Algorithms for Multiobjective Optimization: Issues, Methods and Prospects, in William E. Hart, N. Krasnogor and J.E. Smith (editors), Recent Advances in Memetic Algorithms, pp. 313--352, Springer. Studies in Fuzziness and Soft Computing, Vol. 166, 2005.

Joshua Knowles. A summary-attainment-surface plotting method for visualizing the performance of stochastic multiobjective optimizers, in Fifth International Conference on Intelligent Systems Design and Applications (ISDA'2005), pp. 552--557, 2005.

Joshua Knowles. ParEGO: A Hybrid Algorithm with On-Line Landscape Approximation for Expensive Multiobjective Optimization Problems, IEEE Transactions on Evolutionary Computation, Vol. 10, No. 1, pp. 50--66, February 2006.

Joshua Knowles, Lothar Thiele and Eckart Zitzler. A Tutorial on the Performance Assessment of Stochastic Multiobjective Optimizers, Technical Report No. 214, Computer Engineering and Networks Laboratory (TIK), ETH Zurich, Switzerland, February 2006 (revised version) .

Joshua Knowles and David Corne. Quantifying the Effects of Objective Space Dimension in Evolutionary Multiobjective Optimization, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 757--771, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.

Joshua Knowles, David Corne and Kalyanmoy Deb. Multiobjective Problem Solving from Nature. From Concepts to Applications, Springer, Berlin, ISBN 978-3-540-72963-1, 2008.

Joshua Knowles, David Corne and Kalyanmoy Deb. Introduction: Problem Solving, EC and EMO, in Joshua Knowles, David Corne and Kalyanmoy Deb (Editors), Multi-Objective Problem Solving from Nature: From Concepts to Applications, pp. 1--28, Springer, Berlin, 2008, ISBN 978-3-540-72963-1 .

Joshua Knowles and Hirotaka Nakayama. Meta-Modeling in Multiobjective Optimization, in Jürgen Branke, Kalyanmoy Deb, Kaisa Miettinen and Roman Slowinski (editors), Multiobjective Optimization. Interactive and Evolutionary Approaches, pp. 245--284, Springer. Lecture Notes in Computer Science Vol. 5252, Berlin, Germany, 2008.

Joshua Knowles, David Corne and Alan Reynolds. Noisy Multiobjective Optimization on a Budget of 250 Evaluations, in Matthias Ehrgott, Carlos M. Fonseca, Xavier Gandibleux, Jin-Kao Hao and Marc Sevaux (editors), Evolutionary Multi-Criterion Optimization. 5th International Conference, EMO 2009, pp. 36--50, Springer. Lecture Notes in Computer Science Vol. 5467, Nantes, France, April 2009.

Joshua Knowles. Closed-Loop Evolutionary Multiobjective Optimization, IEEE Computational Intelligence Magazine, Vol. 4, No. 3, pp. 77--91, August 2009.

Chien-Ho Ko and Shu-Fan Wang. Precast production scheduling using multi-objective genetic algorithms, Expert Systems With Applications, Vol. 387, No. 7, pp. 8293--8302, July 2011.

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Kenji Kobayashi, Tomoyuki Hiroyasu and Mitsunori Miki. Mechanism of Multi-Objective Genetic Algorithm for Maintaining the Solution Diversity Using Neural Network, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 216--226, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.

M. H. Kobayashi, H-T. C. Pedro, R. M. Kolonay and G. W. Reich. On a cellular division method for aircraft structural design, Aeronautical Journal, Vol. 113, No. 1150, pp. 821--831, December, 2009.

Keyhan Kobravi and Shaahin Filizadeh. An adaptive multi-modal optimization algorithm for simulation-based design of power-electronic circuits, Engineering Optimization, Vol. 41, No. 10, pp. 945--969, October 2009.

Thomas E. Koch and Andreas Zell. MOCS: Multi-Objective Clustering Selection Evolutionary Algorithm, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 423--430, Morgan Kaufmann Publishers, San Francisco, California, July 2002.

Patrick Koch, Oliver Kramer, Günter Rudolph and Nicola Beume. On the hybridization of SMS-EMOA and local search for continuous multiobjective optimization, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 603--610, ACM Press, Montreal, Canada, July 8--12 2009. ISBN 978-1-60558-325-9.

Patrick Koch. Efficient tuning in supervised machine learning, PhD thesis, Leiden University, The Netherlands, October 2013.

Shyam Prasad Kodali, Rajesh Kudikala and Kalyanmoy Deb. Multi-Objective Optimization of Surface Grinding Process Using NSGA II, in First International Conference on Emerging Trends in Engineering and Technology 2008. (ICETET'08), pp. 763--767, IEEE Computer Society, Washington, DC, USA, July 16-18 2008.

Praveen Koduru, Sanjoy Das, Stephen Welch and Judith L. Roe. Fuzzy Dominance Based Multi-objective GA-Simplex Hybrid Algorithms Applied to Gene Network Models, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part I, Springer-Verlag, Lecture Notes in Computer Science Vol. 3102, pp. 356--367, Seattle, Washington, USA, June 2004.

Praveen Koduru, Sanjoy Das, Stephen Welch and Judith L. Roe. A Multi-objective GA-Simplex Hybrid Approach for Gene Regulatory Network Models, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 2, pp. 2084--2091, Portland, Oregon, USA, June 2004.

Praveen Koduru, Sanjoy Das, Stephen Welch, Judith L. Roe and Zenaida P. Lopez-Dee. A Co-evolutionary Hybrid Algorithm for Multi-Objective Optimization of Gene Regulatory Network Models, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 393--399, Vol. 1, ACM Press, New York, USA, June 2005.

Praveen Koduru, Sanjoy Das and Stephen M. Welch. Multi-Objective Hybrid PSO Using Ε-Fuzzy Dominance, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 853--860, Vol. 1, ACM Press, London, UK, July 2007.

Praveen Koduru, Sanjoy Das, Stephen M. Welch, Judith L. Roe and Erika Charbit. A Multiobjective Evolutionary-Simplex Hybrid Approach for the Optimization of Differential Equation Models of Gene Networks, IEEE Transactions on Evolutionary Computation, Vol. 12, No. 5, pp. 572--590, October 2008.

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Johannes W. Kruisselbrink, Alexander Aleman, Michael T. M. Emmerich, Ad P. IJzerman, Andreas Bender, Thomas Bäck and Eelke van der Horst. Enhancing search space diversity in multi-objective evolutionary drug molecule design using niching, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 217--224, ACM Press, Montreal, Canada, July 8--12 2009. ISBN 978-1-60558-325-9.

K.K. Kshetrapalapuram and M. Kirley. Mining classification rules using evolutionary multi-objective algorithms, Knowledge-Based Intelligent Information and Engineering Systems, Part 3, Proceedings,Springer, pp. 959--965, Lecture Notes in Artificial Intelligence Vol. 3683, 2005.

Jiri Kubalik, Richard Mordinyi and Stefan Biffl. Multiobjective Prototype Optimization with Evolved Improvement Steps, in Jano van Hemert and Carlos Cotta (editors), Evolutionary Computation in Combinatorial Optimization, 8th European Conference, EvoCOP 2008, pp. 218-229, Springer, Lecture Notes in Computer Science Vol. 4972, Naples, Italy, March 2008.

Jiri Kubalik, Pavel Tichy, Radek Sindelar and Raymond J. Staron. Clustering Methods for Agent Distribution Optimization, IEEE Transactions on Systems Man and Cybernetics Part C-Applications and Reviewa, Vol. 40, No. 1, pp. 78--86, January, 2010.

Naoyuki Kubota. Multi-Objective Design of Neuro-Fuzzy Controllers for Robot Behavior Coordination, in Yaochu Jin (Editor), Multi-Objective Machine Learning, pp. 557--584, Springer. Studies in Computational Intelligence, Volume 16, Berlin, 2006.

Rajesh Kudikala, Kalyanmoy Deb and Bishakh Bhattacharya. Multi-Objective Optimization of Piezoelectric Actuator Placement for Shape Control of Plates Using Genetic Algorithms, Journal of Mechanical Design, Vol. 131, No. 9, Article Number: 091007, September, 2009.

Rajesh Kudikala, Andrew R. Mills, Peter J. Fleming, Graham F. Tanner and Jonathan E. Holt. Real World System Architecture Design Using Multi-criteria Optimization: A Case Study, in Michael Emmerich, André Deutz, Oliver Schütze, Thomas Bäck, Emilia Tantar, Alexandru-Adrian Tantar, Pierre del Moral, Pierrick Legrand, Pascal Bouvry and Carlos Coello Coello (editors), EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation IV, pp. 245--260, Springer, Advances in Intelligent Systems and Computing Vol. 227, Heidelberg, Germany, July 10-13, 2013, ISBN 978-3-319-01127-7.

Fumiya Kudo, Tomohiro Yoshikawa and Takeshi Furuhashi. A Study on Analysis of Design Variables in Pareto Solutions for Conceptual Design Optimization Problem of Hybrid Rocket Engine, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 2558--2562, IEEE Service Center, New Orleans, Louisiana, USA, 5--8 June, 2011.

Fumiya Kudo and Tomohiro Yoshikawa. Knowledge extraction in multi-objective optimization problem based on visualization of Pareto solutions, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 860--865, IEEE Press, Brisbane, Australia, June 10-15, 2012.

Saku Kukkonen and Jouni Lampinen. Mechanical Component Design for Multiple Objectives Using Generalized Differential Evolution, in I.C. Parmee (editor), Adaptive Computing in Design and Manufacture VI, pp. 261--272, Springer, London, 2004.

Saku Kukkonen and Jouni Lampinen. An Extension of Generalized Differential Evolution for Multi-objective Optimization with Constraints, in Xin Yao et al. (editors), Parallel Problem Solving from Nature - PPSN VIII, Springer-Verlag, Lecture Notes in Computer Science, Vol. 3242, pp. 752--761, Birmingham, UK, September 2004.

Saku Kukkonen and Jouni Lampinen. Comparison of Generalized Differential Evolution to other Multi-Objective Evolutionary Algorithms, in P. Neittaanmäki, T. Rossi, S. Korotov, E. Oñate, J. Périaux and D. Knörzer (editors), Proceedings of the 4th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2004), University of Jyväskylä, Department of Mathematical Information Technology, Jyväskylä, Finland, 24-28 July, 2004.

Saku Kukkonen and Jouni Lampinen. GDE3: The third Evolution Step of Generalized Differential Evolution, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 443--450, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.

Saku Kukkonen and Jouni Lampinen. An Empirical Study of Control Parameters for Generalized Differential Evolution, in R. Schilling, W. Haase, J. Periaux, H. Baier and G. Bugeda (editors), The Sixth Conference on Evolutionary and Deterministic Methods for Design, Optimization and Control with Applications to Industrial and Societal Problems (EUROGEN 2005), Munich, Germany, 12-14 September, 2005.

Saku Kukkonen and Kalyanmoy Deb. A Fast and Effective Method for Pruning of Non-dominated Solutions in Many-Objective Problems, in Thomas Philip Runarsson, Hans-Georg Beyer, Edmund Burke, Juan J. Merelo-Guervós, L. Darrell Whitley and Xin Yao (editors), Parallel Problem Solving from Nature - PPSN IX, 9th International Conference, pp. 553--562, Springer. Lecture Notes in Computer Science Vol. 4193, Reykjavik, Iceland, September 2006.

Saku Kukkonen and Kalyanmoy Deb. Improved Pruning of Non-Dominated Solutions Based on Crowding Distance for Bi-Objective Optimization Problems, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 3995--4002, IEEE, Vancouver, BC, Canada, July 2006.

Saku Kukkonen and Jouni Lampinen. An Empirical Study of Control Parameters for the Third Version of Generalized Differential Evolution (GDE3), in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 7355--7362, IEEE, Vancouver, BC, Canada, July 2006.

Saku Kukkonen, Sujit R. Jangam and Nirupam Chakraborti. Solving The Molecular Sequence Alignment Problem with Generalized Differential Evolution 3 (GDE3), in Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM'2007), pp. 302--309, IEEE Press, Honolulu, Hawaii, USA, April 2007.

Saku Kukkonen and Jouni Lampinen. Performance Assessment of Generalized Differential Evolution 3 (GDE3) with a Given Set of Problems. in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 3593--3600, IEEE Press, Singapore, September 2007.

Saku Kukkonen and Jouni Lampinen. Ranking-Dominance and Many-Objective Optimization, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 3983--3990, IEEE Press, Singapore, September 2007.

Saku Kukkonen and Jouni Lampinen. Generalized Differential Evolution for Constrained Multi-Objective Optimization, in Lam Thu Bui and Sameer Alam (editors), Multi-Objective Optimization in Computational Intelligence: Theory and Practice, pp. 43--75, Information Science Reference, Hershey, PA, USA, 2008, ISBN 978-1-59904-498-9.

Saku Kukkonen and Jouni Lampinen. Performance Assessment of Generalized Differential Evolution 3 with a Given Set of Constrained Multi-Objective Test Problems, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 1943--1950, IEEE Press, Trondheim, Norway, May, 2009.

Saku Kukkonen. Generalized Differential Evolution for Global Multi-Objective Optimization with Constraints, PhD thesis, Lappeenranta University of Technology, Lappeeranta, Finland, May 2012.

Sadan Kulturel-Konak. Facility Layout and Relayout under Uncertainty, PhD Thesis, Industrial and Systems Engineering Department, Auburn University, Auburn, Alabama, USA, May 2002 (abstract).

Sadan Kulturel-Konak, Alice E. Smith and Bryan A. Norman. Multi-objective tabu search using a multinomial probability mass function, European Journal of Operational Research, Vol. 169, pp. 918--931, 2006.

Sadan Kulturel-Konak and David W. Coit. Determination of Pruned Pareto Sets for the Multi-Objective System Redundancy Allocation Problem, in Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM'2007), pp. 390--394, IEEE Press, Honolulu, Hawaii, USA, April 2007.

Sadan Kulturel-Konak, Abdullah Konak and David W. Coit. Multiobjective Metaheuristic Approaches to Reliability Optimization, in Gregory Levitin (editor), Computational Intelligence in Reliability Engineering. Evolutionary Techniques in Reliability Analysis and Optimization, pp. 37-62, Springer, Heidelberg, 2007.

Sadan Kulturel-Konak, David W. Coit and Fatema Baheranwala. Pruned Pareto-optimal sets for the system redundancy allocation problem based on multiple prioritized objectives, Journal of Heuristics, Vol. 14, No. 4, pp. 335--357, August 2008.

Pasan Kulvanit, Theera Piroonratana, Nachol Chaiyaratana and Djitt Laowattana. Evolutionary Multi-objective Optimisation by Diversity Control. in Dima Grigoriev, John Harrison, and Edward A. Hirsch, (editors), Computer Science -- Theory and Applications. First International Computer Science Symposium in Russia (CSR 2006), pp. 447--456, Springer, Lecture Notes in Computer Science, Vol. 3967, St. Petersburg, Russia, 2006.

P. Kulvanit, N. Chaiyaratana and D. Laowattana. Biped Fast Walking Gait Shaping via Evolutionary Multi-Objective Optimization, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 4019--4026, IEEE Press, Singapore, September 2007.

Rajeev Kumar and Peter I. Rockett. Assessing the Convergence of Rank-Based Multiobjective Genetic Algorithms, In Proceedings of the 2nd IEE/IEEE International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications (GALESIA'97), pages 19-23, Glasgow, Scotland, September 1997. IEE.

Rajeev Kumar and Peter Rockett. Decomposition of High Dimensional Pattern Spaces for Hierarchical Classification. In Proceedings of the Workshop on Statistical Techniques in Pattern Recognition, Prague, Czech Republic, June 1997.

Rajeev Kumar. Feature Selection, Representation and Classification, PhD thesis, University of Sheffield, Sheffield, UK, 1997.

Rajeev Kumar and Peter Rockett. Decomposition of High Dimensional Pattern Spaces for Hierarchical Classification. Kybernetika, 34(4):435-442, 1998.

Rajeev Kumar and Peter Rockett. Multiobjective Genetic Algorithm Partitioning for Hierarchical Learning of High-Dimensional Pattern Spaces: A Learning-Follows-Decomposition Strategy. IEEE Transactions on Neural Networks, 9(5):822-830, 1998.

Rajeev Kumar, N. Vinay Kumar and I. J. Nagrath. Object oriented toolkit for multiobjective genetic optimisation, In 3rd International Conference on Computational Intelligence and Multimedia Applications, pp. 96--10, IEEE, New Delhi, India, September 1999.

Rajeev Kumar. On Generalisation of Machine Learning with Neural-Evolutionary Computations, in Proceedings of the Third International Conference on Computational Intelligence and Multimedia Applications (ICCIMA'99), pp. 112--116, IEEE Computer Society Press, Los Alamitos, California, 1999.

Rajeev Kumar. Codebook Design for Vector Quantisation using Multiobjective Genetic Algorithms, In PPSN/SAB Workshop on Multiobjective Problem Solving from Nature (MPSN), Paris, France, September 2000.

Rajeev Kumar, S. Prasanth and M.S. Sudarshan. Topological Design of Mesh Communication Networks using Multiobjecitve Genetic Optimisation, In PPSN/SAB Workshop on Multiobjective Problem Solving from Nature (MPSN), Paris, France, September 2000.

Rajeev Kumar, V. Prasanna Krishnan and Kartik S. Santhanakrishnan. Design of an Optimal Communication Network Using Multiobjective Genetic Optimization, in Proceedings of the IEEE International Conference on Industrial Technology, Vol. 1, pp. 515--520, 2000.

Sujay V. Kumar and S. Ranji Ranjithan. Evaluation of the Constraint Method-Based Evolutionary Algorithm (CMEA) for a Three-Objective Optimization Problem, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 431--438, Morgan Kaufmann Publishers, San Francisco, California, July 2002.

Rajeev Kumar, Prajna P. Parida and Mohit Gupta. Topological Design of Communication Networks using Multiobjective Genetic Optimization, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 425--430, IEEE Service Center, Piscataway, New Jersey, May 2002

Rajeev Kumar and Peter Rockett. Improved Sampling of the Pareto-Front in Multiobjective Genetic Optimizations by Steady-State Evolution: A Pareto Converging Genetic Algorithm, Evolutionary Computation, Vol. 10, No. 3, pp. 283--314, Fall 2002.

Sujay V. Kumar. Vitri - A Generic Framework for Engineering Decision Support Systems on Heterogeneous Computer Networks, PhD thesis, Department of Civil Engineering, North Carolina State University, Raleigh, North Carolina, USA, 2002 (abstract).

Rajeev Kumar and Peter Rockett. Evolutionary Multimodal Optimization Revisited, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part II, pp. 1592--1593, Springer. Lecture Notes in Computer Science Vol. 2724, July 2003.

Rajeev Kumar and Nilanjan Banerjee. Multicriteria Network Design Using Evolutionary Algorithm, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part II, pp. 2179--2190, Springer. Lecture Notes in Computer Science Vol. 2724, July 2003.

Rajeev Kumar. On Machine Learning with Multiobjective Genetic Optimization, in Carlos A. Coello Coello and Gary B. Lamont (editors), Applications of Multi-Objective Evolutionary Algorithms, pp. 393--425, World Scientific, Singapore, 2004.

Rajeev Kumar and Peter Rockett. Effective Evolutionary Multimodal Optimization by Multiobjective Reformulation Without Explicit Niching/Sharing, in Suresh Manandhar, Jim Austin, Uday B. Desai, Yoshio Oyanagi and Asoke K. Talukder (editors), Applied Computing, Second Asian Applied Computing Conference, AACC 2004, pp. 1--8, Springer. Lecture Notes in Computer Science Volume 3285, Kathmandu, Nepal, October 29-31, 2004.

Rajeev Kumar, P. K. Singh and P. P. Chakrabarti. Improved Quality of Solutions for Multiobjective Spanning Tree Problem Using Distributed Evolutionary Algorithm. in Luc Bougé and Viktor K. Prasanna, (editors), High Performance Computing (HiPC'2004), pp. 494--503, Springer, Lecture Notes in Computer Science, Vol. 3296, Bangalore, India, 2004.

Rajeev Kumar, P.K. Singh and P.P. Chakrabarti. Multiobjective EA Approach for Improved Quality of Solutions for Spanning Tree Problem, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 811--825, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.

A. Kumar, D. Sahoo, S. Chakraborty and N. Chakraborti. Gas injection in steelmaking vessels: Coupling a fluid dynamic analysis with a genetic algorithms-based pareto-optimality, Materials and Manufacturing Processes, Vol. 20, No. 3, pp. 363--379, 2005.

Rajeev Kumar and Nilanjan Banerjee. Running time analysis of a multiobjective evolutionary algorithm on simple and hard problems, in Alden H. Wright, Michael D. Vose, Kenneth A. De Jong and Lothar M. Schmitt (editors), Foundations of Genetic Algorithms. 8th International Workshop, FOGA 2005, Springer, Lecture Notes in Computer Science Vol. 3469, pp. 112--131, Aizu-Wakamatsu City, Japan, January 2005.

R. Kumar and N. Banerjee. Analysis of a Multiobjective Evolutionary Algorithm on the 0-1 knapsack problem, Theoretical Computer Science, Vol. 358, No. 1, pp. 104--120, July 31, 2006.

Rajeev Kumar, P.K. Singh and Bhargab B. Bhattacharya. Biobjective Evolutionary and Heuristic Algorithms for Intersection of Geometric Graphs, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 1689--1696, Vol. 2, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .

D. Nagesh Kumar and M. Janga Reddy. Ant Colony Optimization for multi-purpose reservoir operation, Water Resources Management, Vol. 20, No. 6, pp. 879-898, December, 2006.

Rajeev Kumar, R. K. Singh, A. P. Singhal and Atul Bhartia. Evolutionary and heuristic algorithms for multiobjective 0-1 knapsack problem, in A. Tiwari, J. Knowles, E. Avineri, K. Dahal and R. Roy (editors), Applications of Soft Computing: Recent Trends, pp. 331--340, Springer, September 19 - October 07, 2005, ISBN 3-540-29123-7.

Y. Kumar, B. Das and J. Sharma. Service restoration in distribution system using non-dominated sorting genetic algorithm, Electric Power Systems Research, Vol. 76, No. 9-10, pp. 768--777, June 2006.

P. Kumar, D. Gospodaric and P. Bauer. Improved genetic algorithm inspired by biological evolution, Soft Computing, Vol. 11, No. 10, pp. 923--941, August 2007.

Rajeev Kumar and P. K. Singh. On Quality Performance of Huristic and Evolutionary Algorithms for Biobjective Minimum Spanning Trees, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO'2007), pp. 2259, Vol. 2, ACM Press, London, UK, July 2007.

R. Kumar and P.K. Singh. Pareto Evolutionary Algorithm Hybridized with Local Search for Biobjective TSP, in Crina Grosan, Ajith Abraham and Hisao Ishibuchi (editors), Hybrid Evolutionary Algorithms, pp. 361--398, Springer, Heidelberg, 2007.

Abhay Kumar, Deepak Sharma and Kalyanmoy Deb. A Hybrid Multi-Objective Optimization Procedure Using PCX Based NSGA-II and Sequential Quadratic Programming, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 3011--3018, IEEE Press, Singapore, September 2007.

D. Nagesh Kumar and M. Janga Reddy. Multipurpose reservoir operation using particle swarm optimization, Journal of Water Resources Planning and Management-ASCE, Vol. 133, No. 3, pp. 192-201, May-June, 2007.

Praveen K. Kumar, S. Sharath, Rio G. D'Souza and K. Chandra. Memetic NSGA - A Multi-objective genetic algorithm for classification of microarray data, in ADCOM 2007: Proceedings of the 15th International Conference on Advanced Computing and Communications, pp. 75--80, IEEE Computer Society, Guwahati, India, December 18-21, 2007, ISBN 978-0-7695-3059-8.

Rajeev Kumar, Paresh Tolay and Siddharth Tiwary. Enhancing Solution Quality of the Biobjective Graph Coloring Problem Using Hybridization of EA, in 2008 Genetic and Evolutionary Computation Conference (GECCO'2008), pp. 547--554, ACM Press, Atlanta, USA, July 2008, ISBN 978-1-60558-131-6 .

Rajeev Kumar, Ashwin H. Joshi, Krishna K. Banka and Peter I. Rockett. Evolution of Hyperheuristics for the Biobjective 0/1 Knapsack Problem by Multiobjective Genetic Programming, in 2008 Genetic and Evolutionary Computation Conference (GECCO'2008), pp. 1227--1234, ACM Press, Atlanta, USA, July 2008, ISBN 978-1-60558-131-6 .

Ranjan Kumar, Kazuhiro Izui, Masataka Yoshimura and Shinji Nishiwaki. Multi-objective hierarchical genetic algorithms for multilevel redundancy allocation optimization, Reliability Engineering & System safety, Vol. 94, No. 4, pp. 891--904, April 2009.

Rajeev Kumar, Bipul Kumar Bal and Peter Rockett. Multiobjective genetic programming approach to evolving heuristics for the bounded diameter minimum spanning tree problem, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 309--316, ACM Press, Montreal, Canada, July 8--12 2009. ISBN 978-1-60558-325-9 .

P. Kumar and P. Bauer. Progressive design methodology for complex engineering systems based on multiobjective genetic algoritms and linguistic decision making, Soft Computing, Vol. 13, No. 7, pp. 649-679, May 2009.

V. V. Kumar, M. Tripathi, M. K. Pandey and M. K. Tiwari. Physical programming and conjoint analysis-based redundancy allocation in multistate systems: a Taguchi embedded algorithm selection and control (TAS&C) approach, Proceedings Of The Institution of Mechanical Engineers Part O-Journal of Risk And Reliability, Vol. 223, No. O3, pp. 215-232, September, 2009.

Rajeev Kumar and P. K. Singh. Assessing solution quality of biobjective 0-1 knapsack problem using evolutionary and heuristic algorithms, Applied Soft Computing, Vol. 10, No. 3, pp. 711--718, June, 2010.

Praveen Kumar and Pavol Bauer. Progressive Design Methodology for Design of Engineering Systems. in Yoel Tenne and Chi-Keong Goh (editors), Computational Intelligence in Expensive Optimization Problems, pp. 571--607, Springer, Berlin, Germany, 2010. ISBN 978-3-642-10700-9.

G.N. Sashi Kumar, A.K. Mahendra, A. Sanyal and G. Gouthaman. A Hybrid Method for Multi-Objective Shape Optimization, in Kalyanmoy Deb, Arnab Bhattacharya, Nirupam Chakraborti, Partha Chakroborty, Swagatam Das, Joydeep Dutta, Santosh K. Gupta, Ashu Jain, Varun Aggarwal, Jürgen Branke, Sushil J. Louis and Kay Chen Tan (editors), Simulated Evolution and Learning, 8th International Conference, SEAL 2010, pp. 563--567, Springer. Lecture Notes in Computer Science Vol. 6457, Kanpur, India, December 1-4, 2010.

G. N. Sashi Kumar, A. K. Mahendra and G. Gouthaman. Multi-objective shape optimization using ant colony coupled computational fluid dynamics solver, Computers & Fluids, Vol. 46, No. 1, pp. 298--305, July, 2011.

M. Kumral. Application of chance-constrained programming based on multi-objective simulated annealing to solve a mineral blending problem, Engineering Optimization, Vol. 35, No. 6, pp. 661--673, December 2003.

Kunakote and Tawatchai Sujin Bureerat. Multi-objective topology optimization using evolutionary algorithms, Engineering Optimization, Vol. 43, No. 5, pp. 541--557, 2011.

Sourav Kundu, Seichi Kawata and A. Watanabe. Optimal control system design using a Pareto genetic algorithm. In Proceedings of the Joint System and Information '95 Symposium, pages 53-59, Toyama, Japan, November 1995. SICE.

Sourav Kundu and Andrzej Osyczka. The effect of genetic algorithm selection mechanisms on multicriteria optimization using the distance method. In Proceedings of the Fifth International Conference on Intelligent Systems, pages 164-168, Reno, Nevada, 1996. International Society for Computers and Their Applications (ISCA).

Sourav Kundu, S. Kawata and A. Watanabe. A multicriteria approach to control system design with genetic algorithm. In Proceedings of the International Federation of Automatic Control (IFAC'96)--13th World Congress, volume D, pages 315-320, Klidington, UK, 1996. Elsevier Science.

Sourav Kundu. A multicriteria genetic algorithm to solve optimization problems in structural engineering design. In B. Kumar, editor, Information Processing in Civil and Structural Engineering Design, pages 225-233, Glasgow, Scotland, August 1996. Civil-Comp Press Ltd.

Sourav Kundu and Andrzej Osyczka. Genetic multicriteria optimization of structural systems. In Proceedings of the 19th International Congress on Theoretical and Applied Mechanics (ICTAM 1996), page 272, Kyoto, Japan, August 1996. International Union of Theoretical and Applied Mechanics (IUTAM). Volumen of Abstracts.

Sourav Kundu and Seichi Kawata. A GA-based state feedback design method using bicriterion performance index and tournament selection. In Proceedings of the Fifth International Conference on Intelligent Systems, pages 169-173, Reno, Nevada, 1996. International Society for Computers and Their Applications (ISCA).

Sourav Kundu and Seichi Kawata. AI in Control System Design Using a New Paradigm for Design Representation. In J. S. Gero and F. Sudweeks, editors, Artificial Intelligence in Design, pages 135-150. Kluwer Academic Publishers, The Netherlands, 1996.

Sourav Kundu. A Note on Optimality vs. Stability--A Genetic Algorithm based Approach,In Proceedings of the Third World Congress of Structural and Multidisciplinary Optimization (WCSMO), Buffalo, New York, May 1999.

Sourav Kundu and Seiichi Kawata. Evolutionary Multicriteria Optimization for Improved Design of Optimal Control Systems, in I.C. Parmee (Editor), Proceedings of the Fifth International Conference on Adaptive Computing Design and Manufacture (ACDM 2002), pp. 207--218, Springer-Verlag, University of Exeter, Devon, UK, April 2002.

Partha Pratim Kundu and Sushmita Mitra. Multi-objective Evolutionary Feature Selection, in Santanu Chaudhury, Sushmita Mitra, C. A. Murthy, P. S. Sastry and Sankar K. Pal (editors), Pattern Recognition and Machine Intelligence, Third International Conference, PReMI 2009, pp. 74--79, Springer. Lecture Notes in Computer Science Vol. 5909, New Delhi, India, December 16-20, 2009.

Debarati Kundu, Kaushik Suresh, Sayan Ghosh, Swagatam Das, Ajith Abraham and Youakim Badr. Automatic Clustering Using a Synergy of Genetic Algorithm and Multi-objective Differential Evolution, in E. Corchado, X. Wu, E. Oja, A. Herrero and B. Baruque (editors), Hybrid Artificial Intelligence Systems, pp. 177--186, Springer, Salamanca, Spain, June 10-12, 2009, ISBN 978-3-642-02318-7.

A. Kundu and P.K. Dan. The Scope of Genetic Algorithms in Dealing with Facility Layout Problems, South African Journal of Industrial Engineering, Vol. 21, No. 2, pp. 39--49, November 2010.

Debarati Kundu, Kaushik Suresh, Sayan Ghosh, Swagatam Das, B. K. Panigrahi and Sanjoy Das. Multi-objective optimization with artificial weed colonies, Information Sciences, Vol. 181, No. 12, pp. 2441--2454, January 15, 2011.

Souvik Kundu, Subhodip Biswas, Swagatam Das and P.N. Suganthan. Crowding-based local Differential Evolution with Speciation-based Memory Archive for Dynamic Multimodal Optimization, in 2013 Genetic and Evolutionary Computation Conference (GECCO'2013), pp. 33--40, ACM Press, New York, USA, July 6-10, 2013, ISBN 978-1-4503-1963-8.

Pascale Kuntz, Rémi Lehn and Henri Briand. Dynamic Rule Graph Drawing by Genetic Search, in IEEE International Conference on Systems, Man and Cybernetics, Vol. 4, pp. 2481--2486, 2000.

Simon Künzli, Stefan Bleuler, Lothar Thiele and Eckart Zitzler. A Computer Engineering Benchmark Application for Multiobjective Optimizers, in Carlos A. Coello Coello and Gary B. Lamont (editors), Applications of Multi-Objective Evolutionary Algorithms, pp. 269--294, World Scientific, Singapore, 2004.

Simon Künzli, Lothar Thiele and Eckart Zitzler. Modular Design Space Exploration Framework for Embedded Systems, IEE Proceedings Computers and Digital Techniques, Vol. 152, No. 2, pp. 183--192, 2005.

Simon Künzli. Efficient Design Space Exploration for Embedded Systems, PhD thesis, Swiss Federal Institute of Technology, Zürich, Switzerland, April 20, 2006 (abstract).

S. Künzli, L. Thiele and E. Zitzler. Multi-criteria Decision Making in Embedded System Design, in B. M. Al-Hashimi (editor), System On Chip: Next Generation Electronics, pp. 3--28, IEE Press, London, UK, 2006.

Cheng Chien Kuo. A neural network based Particle Swarm Optimization for the trasnformers connections of a primary feeder considering multi-objective programming, in J. Wang, Z. Yi, J. M. Zurada, B. L. Lu and H. Yin (editors), Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, pp. 1317-1323, Springer. Lecture Notes in Computer Science, Vol. 3972, Chengdu, China, 2006. ISBN 3-540-34437-3.

Way Kuo and Rui Wan. Recent Advances in Optimal Reliability Allocation, in Gregory Levitin (editor), Computational Intelligence in Reliability Engineering. Evolutionary Techniques in Reliability Analysis and Optimization, pp. 1--36, Springer, Heidelberg, 2007.

Cheng-Chien Kuo. Capacitor placement and scheduling using interactive bi-objective programming with valuable trade off approach, Enegry Conversion and Management, Vol. 50, No. 4, pp. 995--1003, April, 2009.

M.A. Kupinski and M.A. Anastasio. Multiobjective Genetic Optimization of Diagnostic Classifiers with Implications for Generating Receiver Operating Characteristic Curves, IEEE Transactions on Medical Imaging, Vol. 18, No. 8, pp. 675--685, 1999.

Setsuya Kurahashi and Takao Terano. A Genetic Algorithm with Tabu Search for Multimodal and Multiobjective Function Optimization. In Darrell Whitley, David Goldberg, Erick Cantú-Paz, Lee Spector, Ian Parmee and Hans-Georg Beyer, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2000), pages 291-298, San Francisco, California, 2000. Morgan Kaufmann.

A. Kurapati and S. Azarm. Immune network simulation with multiobjective genetic algorithms for multidisciplinary design optimization, Engineering Optimization, Vol. 33, No. 2, pp. 245-260, 2000.

Michal Kuraz, Petr Mayer, Matej Leps and Dagmar Trpkosova. An adaptive time discretization of the classical and the dual porosity model of Richards' equation, Journal of Computational And Applied Mathematics, Vol. 233, No. 12, pp. 3167--3177, April 15, 2010.

Mohammad H. Kurdi. Robust Multicriteria Optimization of Surface Location Error and Material Removal Rate in High-Speed Milling Under Uncertainty, PhD thesis, University of Florida, 2005 (abstract).

S. Kuriakose and M.S. Shunmugam. Multi-objective optimization of wire-electro discharge machining process by Non-Dominated sorting Genetic Algorithm, Journal of Materials Processing Technology, Vol. 170, Nos. 1-2, pp. 133--141, December 14, 2005.

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Valerio Lattarulo, Jin Zhang and Geoffrey T. Parks. Application of the MOAA to Satellite Constellation Refueling Optimization, in Robin C. Purshouse, Peter J. Fleming, Carlos M. Fonseca, Salvatore Greco and Jane Shaw (editors), Evolutionary Multi-Criterion Optimization, 7th International Conference, EMO 2013, pp. 669--684, Springer. Lecture Notes in Computer Science Vol. 7811, Sheffield, UK, March 19-22, 2013.

Valerio Lattarulo, Timoleon Kipouros and Geoffrey T. Parks. Application of the Multi-objective Alliance Algorithm to a Benchmark Aerodynamic Optimization Problem, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 3182--3189, IEEE Press, Cancún, México, 20-23 June, 2013, ISBN 978-1-4799-0454-9.

Valerio Lattarulo, Pranay Seshadri and Geoffrey T. Parks. Optimization of a Supersonic Airfoil Using the Multi-Objective Alliance Algorithm, in 2013 Genetic and Evolutionary Computation Conference (GECCO'2013), pp. 1333--1340, ACM Press, New York, USA, July 6-10, 2013, ISBN 978-1-4503-1963-8.

Valerio Lattarulo, Benjamin A. Lindley and Geoffrey T. Parks. Application of the MOAA for the Optimization of CORAIL Assemblies for Nuclear Reactors, in 2014 IEEE Congress on Evolutionary Computation (CEC'2014), pp. 1413--1420, IEEE Press, Beijing, China, 6-11 July 2014, ISBN 978-1-4799-1488-3.

H.C.W. Lau, T.M. Chan, W.T. Tsui, F.T.S Chan, G.T.S. Ho and K.L. Choy. A Fuzzy guided multi-objective evolutionary algorithm model for solving transportation problems, Expert Systems with Applications, Vol. 36, No. 4, pp. 8255--8268, May 2009.

H.C.W. Lau, G.T.S. Ho, T.M. Chan and W.T. Tsui. An innovation approach for achieving cost optimization in supply chain management, Journal of Intelligent & Fuzzy Systems, Vol. 26, No. 1, pp. 173--192, 2014.

Marco Laumanns, Günter Rudolph and Hans-Paul Schwefel. A Spatial Predator-Prey Approach to Multi-Objective Optimization: A Preliminary Study, in A.E. Eiben, M. Schoenauer and H.-P. Schwefel, editors, Parallel Problem Solving From Nature -- PPSN V, pp. 241--249, Amsterdam, Holland, 1998. Springer-Verlag.

Marco Laumanns, Günter Rudolph and Hans-Paul Schwefel. Approximating the Pareto Set: Concepts, Diversity Issues and Performance Assessment, Technical Report CI-72/99, Dortmund: Department of Computer Science/LS11, University of Dortmund, Germany, March 1999. ISSN 1433-3325.

Marco Laumanns, Eckart Zitzler and Lothar Thiele. A Unified Model for Multi-Objective Evolutionary Algorithms with Elitism, In 2000 IEEE Congress on Evolutionary Computation, volume 1, pages 46-53, Piscataway, New Jersey, July 2000. IEEE Service Center.

Marco Laumanns, Günter Rudolph and Hans-Paul Schwefel. Adaptive Mutation Control in Panmictic and Spatially Distributed Multi-Objective Evolutionary Algorithms, In PPSN/SAB Workshop on Multiobjective Problem Solving from Nature (MPSN), September 2000.

Nando Laumanns, Marco Laumanns and Dirk Neunzig. Multi-objective Design Space Exploration of Road Trains with Evolutionary Algorithms. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 612-623. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001.

Marco Laumanns, Eckart Zitzler and Lothar Thiele. On the Effects of Archiving, Elitism and Density Based Selection in Evolutionary Multi-objective Optimization. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 181-196. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001.

Marco Laumanns, Günter Rudolph and Hans-Paul Schwefel. Mutation Control and Convergence in Evolutionary Multi-Objective Optimization. In R. Matousek and P. Osmera (eds.), Proceedings of the 7th International Mendel Conference on Soft Computing (MENDEL 2001), Brno University of Technology, pp. 24--29, Brno, Czech Republic, June 2001.

Marco Laumanns, Lothar Thiele, Kalyanmoy Deb and Eckart Zitzler On the Convergence and Diversity-Preservation Properties of Multi-Objective Evolutionary Algorithms, Technical Report 108, Computer Engineering and Networks Laboratory (TIK), Swiss Federal Institute of Technology (ETH) Zurich, Gloriastrasse 35, CH-8092 Zurich, Switzerland, May 2001.

Nando Laumanns, Marco Laumanns and Harmut Kitterer. Evolutionary Multi-Objective Integer Programming for the Design of Adaptive Cruise Control Systems, in Tim Hendtlass and Moonis Ali (editors), Proceedings of the Fifteenth International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (IEA/AIE-2002), pp. 200--210, Springer-Verlag. Lecture Notes in Artificial Intelligence Vol. 2358, Cairns, Australia, June 2001.

Marco Laumanns, Eckart Zitzler and Lother Thiele. Multiple Criteria Decision Support by Evolutionary Computation, in L.M. Hilty and P.W. Gilgen (editors), Sustainability in the Information Society, 15th International Symposium Informatics for Environmental Protection, Verlag, Zurich, October 2001.

Marco Laumanns, Lothar Thiele, Eckart Zitzler and Kalyanmoy Deb. Archiving with Guaranteed Convergence and Diversity in Multi-Objective Optimization, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 439--447, Morgan Kaufmann Publishers, San Francisco, California, July 2002.

Marco Laumanns, Lothar Thiele, Eckart Zitzler, Emo Welzl and Kalyanmoy Deb. Running Time Analysis of Multi-objective Evolutionary Algorithms on a Simple Discrete Optimization Problem, in Juan Julián Merelo Guervós, Panagiotis Adamidis, Hans-Georg Beyer, José-Luis Fernández-Villacañas and Hans-Paul Schwefel (eds),Parallel Problem Solving from Nature---PPSN VII, pp. 44--53, Springer-Verlag, Lecture Notes in Computer Science No. 2439, Granada, Spain, September 2002.

Marco Laumanns, Lothar Thiele, Kalyanmoy Deb and Eckart Zitzler. Combining Convergence and Diversity in Evolutionary Multi-objective Optimization, Evolutionary Computation, Vol. 10, No. 3, pp. 263--282, Fall 2002.

Marco Laumanns and Jiri Ocenasek. Bayesian Optimization Algorithms for Multi-objective Optimization, in Juan Julián Merelo Guervós, Panagiotis Adamidis, Hans-Georg Beyer, José-Luis Fernández-Villacañas and Hans-Paul Schwefel (eds),Parallel Problem Solving from Nature---PPSN VII, pp. 298--307, Springer-Verlag, Lecture Notes in Computer Science No. 2439, Granada, Spain, September 2002.

M. Laumanns, L. Thiele, E. Zitzler, E. Welzl and K. Deb. Running time analysis of a multi-objective evolutionary algorithm on a simple discrete optimization problem. Technical report 123, Computer Engineering and Networks Laboratory, ETH Zurich, January 2002.

Marco Laumanns. Analysis and Applications of Evolutionary Multiobjective Optimization Algorithms, PhD thesis, Swiss Federal Institute of Technology, Zürich, Switzerland, 2003 (abstract).

M. Laumanns, L. Thiele and E. Zitzler. Running Time Analysis of Evolutionary Algorithms on Vector-Valued Pseudo-Boolean Functions. Technical report 165, Computer Engineering and Networks Laboratory, ETH Zurich, May 2003.

Marco Laumanns, Lothar Thiele and Eckart Zitzler, Running Time Analysis of Multiobjective Evolutionary Algorithms on Pseudo-Boolean Functions, IEEE Transactions on Evolutionary Computation, Vol. 8, No. 2, pp. 170--182, April 2004.

Marco Laumanns, Lothar Thiele and Eckart Zitzler. Running Time Analysis of Evolutionary Algorithms on a Simplified Multiobjective Knapsack Problem, Natural Computing, Vol. 3, No. 1, pp. 37--51, 2004.

M. Laumanns and N. Laumanns. Evolutionary multiobjective design in automotive development, Applied Intelligence, Vol. 23, No. 1, pp. 55--70, July 2005.

Marco Laumanns. Self Adaptation and Convergence of Multiobjective Evolutionary Algorithms in Continuous Search Spaces, in Ajith Abraham, Lakhmi Jain and Robert Goldberg (editors), Evolutionary Multiobjective Optimization. Theoretical Advances and Applications, pp. 33--53, Springer, USA, 2005.

Marco Laumanns, Lothar Thiele and Eckart Zitzler. An efficient, adaptive parameter variation scheme for metaheuristics based on the epsilon-constraint method, European Journal of Operational Research, Vol. 169, pp. 932--942, 2006.

Marco Laumanns and Rico Zenklusen. Stochastic convergence of random search methods to fixed size Pareto front approximations, European Journal of Operational Research, Vol. 213, No. 2, pp. 414--421, September 1, 2011.

Daniele Laucelli and Orazio Giustolisi. Scour Depth Modelling by a Multi-Objective Evolutionary Paradigm, Environmental Modelling & Software, Vol. 26, No. 4, pp. 498--509, April 2011.

Michelle R. Lavagna and Amalia Ercoli Finzi, Concurrent Processes within Preliminary Spacecraft Design: An Autonomous Decisional Support Based on Genetic Algorithms and Analytic Hierarchical Process, in Proceedings of the 17th International Symposium on Space Flight Dynamics, Moscow, Russia, June 2003.

M. Lavagna, A. Povoleri and A.E. Finzi.Interplanetary mission design with aero-assisted manoeuvres multi-objective evolutive optimization, Acta Astronautica, Vol. 57, Nos. 2--8, pp. 498--509, July-October 2005.

Michele R. Lavagna, Davide Lo Pinto and Amalia Ercoli Finzi. Robust aero-gravity assisted maneuvers for a multi-objective interplanetary trajectory design optimization, in B. G. Williams, L. A. DAmario, K. C. Howell and F. R. Hoots (editors), Astrodynamics 2005, Vol 123, Pts 1-3, pp. 2549--2568, Univelt Inc, Lake Tahoe, Ca, August 07-11, 2005, ISBN 0-8770-3527-X.

Michèle R. Lavagna. Multi-Objective PSO for Interplanetary Trajectory Design, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 175, Vol. 1, ACM Press, London, UK, July 2007.

Oren Lavan and Gary F. Dargush. Multi-Objective Evolutionary Seismic Design with Passive Energy Dissipation Systems, Journal of Earthquake Engineering, Vol. 13, No. 6, pp. 758--790, 2009.

Michael Lawrence. Multiobjective Genetic Algorithms for Materialized View Selection in OLAP Data Warehouses, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 699--706, Vol. 1, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4.

Beatrice Lazzerini, Francesco Marcelloni and Massimo Vecchio. A multi-evolutionary approach to image quality/compression trade-off in JPEG baseline algorithm, Applied Soft Computing, Vol. 10, No. 2, pp. 548-561, March, 2010.

A. Lazzaretto and A. Toffolo. Energy, economy and environment as objectives in multi-criterion optimization of thermal systems design, Energy, Vol. 29, No. 8, pp. 1139--1157, June 2004.

Khoi Le and Dario Landa-Silva. Obtaining Better Non-Dominated Sets Using Volume Dominance, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 3119--3126, IEEE Press, Singapore, September 2007.

Khoi Le and Dario Landa-Silva. Adaptive and Assortative Mating Scheme for Evolutionary Multi-Objective Algorithms, in Nicolas Monmarché, El-Ghazali Talbi, Pierre Collet, Marc Schoenauer and Evelyne Lutton, (editors), Artificial Evolution. 8th International Conference Evolution Artificielle (EA 2007), pp. 172--183, Springer. Lecture Notes in Computer Science. Vol. 4926, Tours, France, October, 2007.

Khoi Le, Dario Landa-Silva and Hui Li. An Improved Version of Volume Dominance for Multi-Objective Optimisation, in Matthias Ehrgott, Carlos M. Fonseca, Xavier Gandibleux, Jin-Kao Hao and Marc Sevaux (editors), Evolutionary Multi-Criterion Optimization. 5th International Conference, EMO 2009, pp. 231--245, Springer. Lecture Notes in Computer Science Vol. 5467, Nantes, France, April 2009.

Minh Nghia Le, Yew Soon Ong, Stefan Menzel, Chun-Wei Seah and Bernhard Sendhoff. Multi co-objective evolutionary optimization: cross surrogate augmentation for computationally expensive problems, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 2871--2878, IEEE Press, Brisbane, Australia, June 10-15, 2012.

Qianqi Le, Guowu Yang, William N. N. Hung, Xinpeng Zhang and Fuyou Fan. A multiobjective scatter search algorithm for fault-tolerant NoC mapping optimisation, International Journal of Electronics, Vol. 101, No. 8, pp. 1056--1073, August 2014.

M. A. Lee and R. Hartani. A Multiobjective Evolutionary Algorithms Approach to Fuzzy Modelling. In Proceedings of the Second Annual Joint Conference on Information Sciences (JCIS'95), pages 460-463, Wrightsville Beach, North Carolina, 1995.

Michael A. Lee, Henrik Esbensen and Laurent Lemaitre. The Design of Hybrid Fuzzy/Evolutionary Multiobjective Optimization Algorithms. In Proceedings of the 1995 IEEE/Nagoya University World Wiseperson Workshop, pages 118-125, Nagoya, Japan, 1995.

Jongsoo Lee and Prabhat Hajela. Parallel Genetic Algorithm Implementation in Multidisciplinary Rotor Blade Design. Journal of Aircraft, 33(5):962-969, September-October 1996.

J. Le Besnerais, V. Lanfranchi, M. Hecquet and P. Brochet. Multiobjective optimization of induction machines including mixed variables and noise minimization, IEEE Transactions on Magnetics, Vol. 44, No. 6, pp. 1102--1105, June 2008.

Jean Le Besnerais, Aurelie Fasquelle, Vincent Lanfranchi, Michel Hecquet and Pascal Brochet. Mixed-Variable Optimal Design of Induction Motors Including Efficiency, Noise and Thermal CriteriaOptimization and Engineering, Vol. 12, No. 1-2, pp. 55--72, March 2011.

M. A. Lee and H. Esbensen. Set Quality Measures for Characterizing Multiobjective Optimization Algorithm Behavior. In Procedings of the North American Fuzzy Information Processing Society (NAFIPS'96), Berkeley, California, 1996.

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M. A. Lee and H. Esbensen. Multiobjective Optimization using Fuzzy/Evolutionary Algorithms. In Proceedings of the International Society for Computers and Their Applications (ISCA'96), San Francisco, California, 1996.

Michael A. Lee and Henrik Esbensen. Automatic Construction of Fuzzy Controllers for Evolutionary Multiobjective Optimization Algorithms, in Proceedings of the Fifth IEEE International Conference on Fuzzy Systems, Vol. 2, pp. 1518--1523, 1996.

Michael A. Lee and Henrik Esbensen. Evolutionary Algorithms Based Multiobjective Optimization Techniques for Intelligent Systems Design, in 1996 Biennial Conference of the North America Fuzzy Information Processing Society (NAFIPS'96), pp. 360--364, 1996.

D. Lee and S. Y. Kim. A knowledge-based expert system as a pre-post processor in engineering optimization, Expert Systems With Applications, Vol. 11, No. 1, pp. 79-87, 1996.

M. A. Lee and H. Esbensen. Fuzzy/Multiobjective Genetic Systems for Intelligent Systems Design Tools and Components, In Witold Pedrycz, editor, Fuzzy Evolutionary Computation, pages 57-80. Kluwer Academic Publishers, Boston, Massachusetts, 1997.

Dongkon Lee. Multiobjective Design of a Marine Vehicle with Aid of Design Knowledge. International Journal for Numerical Methods in Engineering, 40:2665-2677, 1997.

T.H. Lee, K.C. Tan and E.F. Khor. Control System Design Unification and Automation---A Way Forward in CACSD via Evolutionary Computation, Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), Vol. 1, pp. 152--161, IEEE Service Center, Piscataway, New Jersey, 2001.

In-Hee Lee, Soo-Yong Shin and Byoung-Tak Zhang. DNA Sequence Optimization Using Constrained Multi-Objective Evolutionary Algorithm, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 4, pp. 2270--2276, IEEE Press, Canberra, Australia, December 2003.

In-Hee Lee, Sun Kim and Byoung-Tak Zhang. Multi-objective Evolutionary Probe Design Based on Thermodynamic Criteria for HPV Detection, in Chengqi Zhang, Hans W. Guesgen, and Wai K.Yeap (editors), Trends in Artificial Intelligence. 8th Pacific Rim International Conference on Artificial Intelligence (PRICAI'2004), pp. 742-750, Springer, Lecture Notes in Computer Science, Vol. 3157, Auckland, New Zealand, August 9-13 2004. ISBN 978-3-540-22817-2.

B. H. Lee and K. Y. Lee. Application of S-model learning automata for multi-objective optimal operation of power systems, IEE Proceedings-Generation Transmission and Distribution, Vol. 152, No. 2, pp. 295--300, March 2005.

Seungwon Lee, Anastassios E. Petropoulos and Paul von Allmen. Low-thrust orbit transfer optimization with refined Q-law and multi-objective genetic algorithm, in B. G. Williams, L. A. DAmario, K. C. Howell and F. R. Hoots (editors), Astrodynamics 2005, Vol 123, Pts 1-3, pp. 2249--2264, Univelt Inc, Lake Tahoe, Ca, August 07-11, 2005, ISBN 0-8770-3527-X.

In-Hee Lee, Soo-Yong Shin and Byoung-Tak Zhang. Multiplex PCR Assay Design by Hybrid Multiobjective Evolutionary Algorithm, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 376--385, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.

Chi-Ho Lee, Kang-Hee Lee and Jong-Hwan Kim. Evolutionary Multi-Objective Optimization for Generating Artificial Creature's Personality. In 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 2450-2455, IEEE Press, Singapore, September 2007.

Zne-Jung Lee, Shih-Wei Lin, Shun-Feng Su and Chun-Yen Lin. A hybrid watermarking technique applied to digital images, Applied Soft Computing, Vol. 8, No. 1, pp. 798--808, January 2008.

J. Lee and J. Lee. Gate positioning design of injection mould using bi-objective micro genetic algorithm, Proceedings of the Institution of Mechanical Engineers Part B--Journal of Engineering Manufacture, Vol. 222, No. 6, pp. 687--699, June 2008.

Chi-Ho Lee, Ye-Hoon Kim and Jong-Hwan Kim. Multiobjective Evolutionary Algorithm Reinforcing Specific Objective, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 2894--2898, IEEE Service Center, Hong Kong, June 2008.

Loo Hay Lee, Ek Peng Chew, Suyan Teng and Yankai Chen. Multi-objective simulation-based evolutionary algorithm for an aircraft spare parts allocation problem, European Journal of Operational Research, Vol. 189, No. 2, pp. 476--491, September 1, 2008.

Elaine Su-Qin Lee, Gade Pandu Rangaiah and Naveen Agrawal. Optimal Design of Chemical Processes for Multiple Economic and Environmental Objectives, in Rangaiah Gade Pandu (editor), Multi-Objective Optimization Techniques and Applications in Chemical Engineering, chapter 10, pp. 301--338, World Scientific, Singapore, 2009, ISBN 978-981-283-651-9.

Fook Choon Lee, Gade Pandu Rangaiah and Dong-Yup Lee. Optimization of a Multi-Product Microbial Cell Factory for Multiple Objectives - A Paradigm for Metabolic Pathway Recipe, in Rangaiah Gade Pandu (editor), Multi-Objective Optimization Techniques and Applications in Chemical Engineering, chapter 13, pp. 401--428, World Scientific, Singapore, 2009, ISBN 978-981-283-651-9.

Elaine Su-Qin Lee and G. P. Rangaiah. Optimization of Recovery Processes for Multiple Economic and Environmental Objectives, Industrial & Engineering Chemistry Research, Vol. 48, No. 16, pp. 7662--7681, August 2009.

DongSeop Lee, Jacques Periaux, Jordi Pons-Prats, Gabriel Begeda and Eugenio Oñate. Double Shock Control Bump Design Optimization using Hybridised Evolutionary Algorithms, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 1959--1966, IEEE Press, Barcelona, Spain, July 18--23, 2010.

Loo Hay Lee, Ek Peng Chew, Suyan Teng and David Goldsman. Finding the non-dominated Pareto set for multi-objective simulation models, IIE Transactions, Vol. 42, No. 9, pp. 656--674, Article Number: PII 923008352, 2010.

D. S. Lee, L. F. Gonzalez, J. Periaux and K. Srinivas. Efficient Hybrid-Game Strategies Coupled to Evolutionary Algorithms for Robust Multidisciplinary Design Optimization in Aerospace Engineering, IEEE Transactions on Evolutionary Computation, Vol. 15, No. 2, pp. 133--150, April, 2011.

Sang-Moon Lee and Kwang-Yong Kim. Multiobjective Design Optimization of the Upper Plenum of a Pbmr-Type Gas-Cooled Nuclear Reactor, Nuclear Technology, Vol. 175, No. 2, pp. 361--370, August, 2011.

D. S. Lee, J. Periaux, E. Onate, L.F. Gonzalez and N. Qin. Active Transonic Aerofoil Design Optimization Using Robust Multiobjective Evolutionary Algorithms, Journal of Aircraft, Vol. 48, No. 3, pp. 1084--1094, May-June, 2011.

Kuo-Ming Lee, Ming-Ren Hsu, Jyh-Horng Chou and Ching-Yi Guo. Improved differential evolution approach for optimization of surface grinding process, Expert Systems With Applications, Vol. 38, No. 5, pp. 5680--5686, May, 2011.

Sun-Young Lee, Wonsuk Park, Seung-Yong Ok and Hyun-Moo Koh. Preference-based maintenance planning for deteriorating bridges under multi-objective optimisation framework, Structure and Infrastructure Engineering, Vol. 7, Nos. 7-8, pp. 633--644, 2011.

Ki-Baek Lee and Jong-Hwan Kim. Multi-Objective Particle Swarm Optimization with Preference-based Sorting, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 2506--2513, IEEE Service Center, New Orleans, Louisiana, USA, 5--8 June, 2011.

Sang-Hwan Lee and Juhee Lee. Optimization of Three-Dimensional Wings in Ground Effect Using Multiobjective Genetic Algorithm, Journal of Aircraft, Vol. 48, No. 5, pp. 1633--1645, September-October, 2011.

Jung Song Lee, Lim Cheon Choi and Soon Cheol Park. Multi-Objective Genetic Algorithms, NSGA-II and SPEA2, for Document Clustering, in Tai-hoon Kim, Hojjat Adeli, Haeng-kon Kim, Heau-jo Kang, Kyung Jung Kim, Akingbehin Kiumi and Byeong-Ho Kang (editors), Software Engineering, Business Continuity, and Education, International Conferences ASEA, DRBC and EL 2011, pp. 219--227, Springer. Communications in Computer and Information Science Vol. 257, Jeju Island, Korea, December 8-10, 2011.

Loo Hay Lee, Ek Peng Chew, Kee Hui Chua, Zhuo Sun and Lu Zhen. A Simulation Optimisation Framework for Container Terminal Layout Design, in Lihui Wang, Amos H. C. Ng and Kalyanmoy Deb (editors), Multi-objective Evolutionary Optimisation for Product Design and Manufacturing, Chapter 14, pp. 385--400, Springer, London, UK, 2011, ISBN 978-0-85729-617-7.

DongSeop Lee, Luis Felipe Gonzalez, Jacques Periaux and Gabriel Bugeda. Multi-objective design optimization of morphing UAV aerofoil/wing using hybridised MOGA, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 704--711, IEEE Press, Brisbane, Australia, June 10-15, 2012.

Ki-Baek Lee and Jong-Hwan Kim. Multiobjective Particle Swarm Optimization With Preference-Based Sort and Its Application to Path Following Footstep Optimization for Humanoid Robots, IEEE Transactions on Evolutionary Computation, Vol. 17, No. 6, pp. 755--766, December 2013.

Jiann-Shu Lee and Fei-Hsiang Huang. A NSGA-II Based Image Watermarking Method, Journal of Internet Technology, Vol. 14, No. 7, pp. 1131--1139, December 2013.

Ki-Baek Lee and Jong-Hwan Kim. DMOPSO: Dual Multi-Objective Particle Swarm Optimization, in 2014 IEEE Congress on Evolutionary Computation (CEC'2014), pp. 3096--3102, IEEE Press, Beijing, China, 6-11 July 2014, ISBN 978-1-4799-1488-3.

C. Leer, F. W. J. van Hattum, A. Gaspar-Cunha, O. S. Carneiro and C. A. Bernardo. Tailored shear extrusion of carbon nanofibre/polyamide composites and its effect on electrical percolation threshold, Plastics Rubber and Composites, Vol. 35, No. 6-7, pp. 268--275, September, 2006.

Pakorn Leesutthipornchai, Chalermpol Charnsripinyo and Naruemon Wattanapongsakorn. Solving multi-objective routing and wavelength assignment in WDM network using hybrid evolutionary computation approach, Computer Communications, Vol. 33, No. 18, pp. 2246--2259, December 15, 2010.

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Julien Legriel, Scott Cotton and Oded Maler. On Universal Search Strategies for Multi-Criteria Optimization Using Weighted Sums , in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 2351--2358, IEEE Service Center, New Orleans, Louisiana, USA, 5--8 June, 2011.

Guillermo Leguizamón and Carlos A. Coello Coello. Multi-Objective Ant Colony Optimization: A Taxonomy and Review of Approaches, in Satchidanada Dehuri, Susmita Ghosh and Sung Bae Cho (editors), Integration of Swarm Intelligence and Artificial Neural Network, Chapter 3, pp. 67--94, World Scientific, Singapore, 2011, ISBN 978-981-4280-14-3 .

Joel Lehman and Kenneth O. Stanley. Evolving Diversity of Creatures Through Novelty Search and Local Competition, in 2011 Genetic and Evolutionary Computation Conference (GECCO'2011), pp. 211--218, ACM Press, Dublin, Ireland, July 12-16, 2011.

Joel Lehman, Kenneth O. Stanley and Risto Miikkulainen. Effective Diversity Maintenance in Deceptive Domains, in 2013 Genetic and Evolutionary Computation Conference (GECCO'2013), pp. 215--222, ACM Press, New York, USA, July 6-10, 2013, ISBN 978-1-4503-1963-8.

Tian Lei, Liu Lieli, Liyan Han and Hai Huang. A Genetic Algorithm-Based Double-Objective Multi-constraint Optimal Cross-Region Cross-Sector Public Investment Model, in Licheng Jiao, Lipo Wang, Xinbo Gao, Jing Liu and Feng Wu (editors), Advances in Natural Computation, Second International Conference, ICNC 2006, pp. 470--479, Springer. Lecture Notes in Computer Science Volume 4222, Xi'an, China, September 24-28 2006.

Deming Lei and Zhiming Wu. Crowding-measure-based multiobjective evolutionary algorithm for job shop scheduling, International Journal of Advanced Manufacturing Technology, Vol. 30, Nos. 1-2, pp. 112--117, August 2006.

Deming Lei. Pareo archive particle swarm optimization for multi-objective fuzzy job shop scheduling problems, International Journal of Manufacturing Technology, Vol. 37, No. 1-2, pp. 157-165, April 2008.

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Shing Wa Leung, Xin Zhang and Shiu Yin Yuen. Multiobjective differential evolution algorithm with opposition-based parameter control, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 2106--2113, IEEE Press, Brisbane, Australia, June 10-15, 2012.

Man-Fai Leung, Sin-Chun Ng, Chi-Chung Cheung and Andrew K. Lui. A New Strategy for Finding Good Local Guides in MOPSO, in 2014 IEEE Congress on Evolutionary Computation (CEC'2014), pp. 1990--1997, IEEE Press, Beijing, China, 6-11 July 2014, ISBN 978-1-4799-1488-3.

Clare Levene, Elon Correa, Ewan W. Blanch and Royston Goodacre. Enhancing Surface Enhanced Raman Scattering (SERS) Detection of Propranolol with Multiobjective Evolutionary Optimization, Analytical Chemistry, Vol. 84, No. 18, pp. 7899-7905, September 18, 2012.

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Andrew Lewis and David Abramson. An Evolutionary Programming Algorithm for Multi-Objective Optimisation, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 3, pp. 1926--1932, IEEE Press, Canberra, Australia, December 2003.

Andrew Lewis. Parallel Optimisation Algorithms for Continuous, Non-Linear Numerical Simulations, PhD thesis, School of Computing and Information Technology, University of Newcastle, Brisbane, Australia, 2004 (abstract).

Andrew Lewis, Sanaz Mostaghim and Marcus Randall. Evolutionary Population Dynamics and Multi-Objective Optimisation Problems, in Lam Thu Bui and Sameer Alam (editors), Multi-Objective Optimization in Computational Intelligence: Theory and Practice, pp. 185--206, Information Science Reference, Hershey, PA, USA, 2008, ISBN 978-1-59904-498-9.

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Andrew Lewis, Sanaz Mostaghim and Ian Scriven. Asynchronous Multi-Objective Optimisation in Unreliable Distributed Environments, in Andrew Lewis, Sanaz Mostaghim and Marcus Randall (editors), Biologically-Inspired Optimisation Methods, pp. 51--78, Springer, 2009. ISBN 978-3-642-01261-7.

Andrew Lewis, Marcus Randall, Amir Galehdar, David Thiel and Gerhard Weis. Using Ant Colony Optimisation to Construct Meander-Line RFID Antennas, in Andrew Lewis, Sanaz Mostaghim and Marcus Randall (editors), Biologically-Inspired Optimisation Methods, pp. 189--217, Springer, 2009. ISBN 978-3-642-01261-7 .

Andrew Lewis. LoCost: a Spatial Social Network Algorithm for Multi-Objective Optimisation, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 2866--2870, IEEE Press, Trondheim, Norway, May, 2009.

Andrew Lewis, Gerhard Weis, Marcus Randall, Amir Galehdar and David Thiel. Optimising Efficiency and Gain of Small Meander Line RFID Antennas using Ant Colony System, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 1486--1492, IEEE Press, Trondheim, Norway, May, 2009.

Geoff Leyland. Multi-Objective Optimisation Applied to Industrial Energy Problems, PhD Thesis, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, May 2002 (abstract) .

J.C. Leyva and E. Fernández. A genetic algorithm for deriving final ranking from a fuzzy outranking relation. Foundations of Computing and Decision Sciences, 24(1):33-47, 1999.

Juan Carlos Leyva-López and Eduardo Fernández-González. A new method for group decision support based on ELECTRE III methodology, European Journal of Operational Research, Vol. 148, No. 1, pp. 14--27, July 2003.

Juan Carlos Leyva-Lopez and Miguel Angel Aguilera-Contreras. A Multiobjective Evolutionary Algorithm for Deriving Final Ranking from a Fuzzy Outranking Relation, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 235--249, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.

Juan Carlos Leyva López, Diego Alonso Gastélum Chavira and Margarita Urías Ruiz. An Application of a Multicriteria Approach to Compare Economic Sectors: The Case of Sinaloa, Mexico, in Robin C. Purshouse, Peter J. Fleming, Carlos M. Fonseca, Salvatore Greco and Jane Shaw (editors), Evolutionary Multi-Criterion Optimization, 7th International Conference, EMO 2013, pp. 710--725, Springer. Lecture Notes in Computer Science Vol. 7811, Sheffield, UK, March 19-22, 2013.

Christian Lezcano, Diego Pinto and Benjamín Barán. Team Algorithms Based on Ant Colony Optimization - A New Multi-Objective Optimization Approach, in Günter Rudolph, Thomas Jansen, Simon Lucas, Carlo Poloni and Nicola Beume (editors), Parallel Problem Solving from Nature--PPSN X, pp. 773--783, Springer, Lecture Notes in Computer Science Vol. 5199, Dortmund, Germany, September 2008.

Yinzhen Li, Mitsuo Gen and Kenichi Ida. Evolutionary Computation for Multicriteria Solid Transportation Problem with Fuzzy Numbers. In Thomas Bäck, Zbigniew Michalewicz and Hiroaki Kitano, editors, Proceedings of the Third IEEE Conference on Evolutionary Computation, pages 596-601, Piscataway, New Jersey, 1996. IEEE Service Center.

Yinzhen Li, Kenichi Ida and Mitsuo Gen. Evolutionary Program for Multicriteria Solid Transportation Problem with Fuzzy Numbers, in IEEE International Conference on Systems, Man and Cybernetics, IEEE, Vol. 3, pp. 1960--1965, 1996.

Yinzhen Li, Kenichi Ida and Mitsuo Gen. Improved Genetic Algorithm for Solving Multiobjective Solid Transportation Problem with Fuzzy Numbers. Computers & Industrial Engineering, 33(3-4):589-592, 1997.

Y. Li and K.F. Man. Scheduling and Planning Problem in Manufacturing Systems with Multiobjective Genetic Algorithm, in Proceedings of the 24th Annual Conference on the IEEE Industrial Electronics Society, Vol. 1, pp. 274--279, 1998.

Xiaodong Li, Tianzi Jiang and D. J. Evans. Medical Image Reconstruction Using a Multi-objective Genetic Local Search Algorithm. International Journal on Computer Mathematics, 74(301-314), 2000.

Seereeram Li, Ravichandran Mehra, Robert Smith and Randal Beard.Multi-spacecraft Trajectory Optimization and Control using Genetic Algorithm Techniques, in IEEE Aerospace Conference Proceedings, Vol. 7, IEEE, pp. 99--108, 2000.

J. Li and N. Satofuka. Optimization design of a compressor cascade airfoil using a Navier-stokes solver and genetic algorithms, Proceedings of the Institution of Mechanical Engineering Part A---Journal of Power and Energy, Vol. 216, No. A2, pp. 195--202, 2002.

Jian-Ping Li, Marton E. Balazs, Geoffrey T. Parks and P. John Clarkson. A Species Conserving Genetic Algorithm for Multimodal Function Optimization, Evolutionary Computation, Vol. 10, No. 3, pp. 207--234, Fall 2002.

Xiaodong Li. A Real-Coded Predator-Prey Genetic Algorithm for Multiobjective Optimization, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 207--221, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.

Xiaodong Li. A Non-dominated Sorting Particle Swarm Optimizer for Multiobjective Optimization, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part I, pp. 37--48, Springer. Lecture Notes in Computer Science Vol. 2723, July 2003.

X. N. Li, B. G. Rong, E. Lahdenpera, A. Kraslawski and L. Nystrom. Conflict-based approach for multi-objective process synthesis, in B. Chen and A. W. Westerberg (editors), Process Systems Engineering 2003, PTS A and B, pp. 946--951, Elsevier Science BV, Kunming, China, June 22-27, 2003, ISBN 0-444-51404-X.

Hui Li, Qingfu Zhang, Edward Tsang and John A. Ford. Hybrid Estimation of Distribution Algorithm for Multiobjective Knapsack Problem, in Jens Gottlieb and Günter R. Raidl (editors), Evolutionary Computation in Combinatorial Optimization, Proceedings of the 4th European Conference, EvoCOP 2004, Springer, pp. 145--154, Lecture Notes in Computer Science, Vol. 3004, April 2004.

Xiaodong Li. Better Spread and Convergence: Particle Swarm Multiobjective Optimization Using the Maximin Fitness Function, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part I, Springer-Verlag, Lecture Notes in Computer Science Vol. 3102, pp. 117--128, Seattle, Washington, USA, June 2004.

Xiaodong Li. Adaptively choosing neighbourhood bests using species in a particle swarm optimizer for multimodal function optimization, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part I, Springer-Verlag, Lecture Notes in Computer Science Vol. 3102, pp. 105--116, Seattle, Washington, USA, June 2004.

Weiqi Li. Finding Pareto-Optimal Set by Merging Attractors for a Bi-objective Traveling Salesmen Problem, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 797--810, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.

Mian Li, Shapour Azarm and Vikrant Aute. A Multi-Objective Genetic Algorithm for Robust Design Optimization, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 771--778, Vol. 1, ACM Press, New York, USA, June 2005.

Hui Li and Qingfu Zhang. A Multiobjective Differential Evolution Based on Decomposition for Multiobjective Optimization with Variable Linkages, in Thomas Philip Runarsson, Hans-Georg Beyer, Edmund Burke, Juan J. Merelo-Guervós, L. Darrell Whitley and Xin Yao (editors), Parallel Problem Solving from Nature - PPSN IX, 9th International Conference, pp. 583--592, Springer. Lecture Notes in Computer Science Vol. 4193, Reykjavik, Iceland, September 2006.

Jin Li and Sope Taiwo. Enhancing Financial Decision Making Using Multi-Objective Financial Genetic Programming, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 7935--7942, IEEE, Vancouver, BC, Canada, July 2006.

Jun Li, Huping Xu and Mitsuo Gen. A class of multiobjective linear programming model with fuzzy random coefficients, Mathematical and Computer Modelling, Vol. 44, No. 11-12, pp. 1097-1113, December 2006.

Junfeng Li and Wenzhan Dai. Multi-objective decision algorithm based on adaptive genetic algorithm and grey relation degree, in 2006 9th International Conference on Control, Automation, Robotics and Vision, Vols 1- 5, pp. 70--74, IEEE, Singapore, Singapore, December 05-08, 2006, ISBN 978-1-4244-0341-7.

Junfeng Li and Wenzhan Dai. Research of solving method against multi-objective problem based on adaptive genetic algorithm and grey relation degree, in D. Z. Cheng and G. R. Duan (editors), 2006 Chinese Control Conference, Vols 1-5, pp. 1771--1774, IEEE, Harbin, China, August 07-10, 2006, ISBN 978-7-81077-802-2.

G. Li, M. Li, S. Azarm, J. Rambo and Y. Joshi. Optimizing thermal design of data center cabinets with a new multi-objective genetic algorithm, Distributed and Parallel Databases, Vol. 21, Nos. 2--3, pp. 167--192, June 2007.

Genzi Li. Online and Offline Approximations for Population Based Multi-Objective Optimization, PhD thesis, Department of Mechanical Engineering, University of Maryland, College Park, USA, 2007 (abstract).

Xiaodong Li, Jürgen Branke and Michael Kirley. Performance Measures and Particle Swarm Methods for Dynamic Multiobjective Optimization Problems, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 907, Vol. 1, ACM Press, London, UK, July 2007.

Zhiyong Li and Günter Rudolph. A Framework of Quantum-inspired Multi-Objective Evolutionary Algorithms and its Convergence Condition, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 908, Vol. 1, ACM Press, London, UK, July 2007.

Xiaodong Li, Jürgen Branke and Michael Kirley. On Performance Metrics and Particle Swarm Methods for Dynamic Multiobjective Optimization Problems, 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 576--583, IEEE Press, Singapore, September 2007.

Sheng-Tun Li, Chih-Chuan Chen and Jian Wei Li. A Multi-objective Particle Swarm Optimization Algorithm for Rule Discovery, in Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIHMSP 2007), pp. 597--600, IEEE Computer Society, Washington, DC, USA, November 26-28 2007.

Chenfei Li, Qunxiong Zhu and Zhiqiang Geng. Multi-objective particle swarm optimization hybrid algorithm: An application on industrial cracking furnace, Industrial & Engineering Chemistry Research, Vol. 46, No. 11, pp. 3602-3609, May 23 2007.

Bin-Bin Li and Ling Wang. A hybrid quantum-inspired genetic algorithm for multiobjective flow shop scheduling, IEEE Transactionsd on Systems Man and Cybernetics Part B-Cybernetics, Vol. 37, No. 3, pp. 576--591, June, 2007.

Zhiyong Li, Zhe Li and Guenter Rudolph. On the convergence properties of quantum-inspired multi-objective evolutionary algorithms, in D. S. Huang, L. Heutte and M. Loog (editors), Advanced Intelligent Computing Theories and Applications: with Aspects of Contemporary Intelligent Computing Techniques, pp. 245--255, Springer-Verlag Berlin, Qingdao, China, August 21-24, 2007, ISBN 978-3-540-74281-4.

Mian Li. Robust Optimization and Sensitivity Analysis with Multi-Objective Genetic Algorithms: Single- and Multidisciplinary Applications, PhD thesis, Department of Mechanical Engineering, University of Maryland, College Park, USA, 2007 (abstract).

Rui Li, Jeroen Eggermont, Ofer M. Shir, Michael T. M. Emmerich, Thomas Bäck, Jouke Dijkstra and Johan H. C. Reiber. Mixed-Integer Evolution Strategies with Dynamic Niching, in Günter Rudolph, Thomas Jansen, Simon Lucas, Carlo Poloni and Nicola Beume (editors), Parallel Problem Solving from Nature--PPSN X, pp. 246-255, Springer, Lecture Notes in Computer Science Vol. 5199, Dortmund, Germany, September 2008.

Kangshun Li, Weifeng Pan, Wensheng Zhang, Zhangxin Chen. A Sequence Cipher Producing Method Based on Two-Layer Ranking Multi-Objective Evolutionary Algorithm, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 169--173, IEEE Service Center, Hong Kong, June 2008.

Miqing Li, Jinhua Zheng and Guixia Xiao. An Efficient Multi-Objective Evolutionary Algorithm Based on Minimum Spanning Tree, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 617-624, IEEE Service Center, Hong Kong, June 2008.

Miqing Li, Jinhua Zheng and Guixia Xiao. Uniformity Assessment for Evolutionary Multi-Objective Optimization, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 625--632, IEEE Service Center, Hong Kong, June 2008.

Li Li, Li Hong-Qi and Xie Shao-Long. Particle Swarm Multi_optimizer for Locating all Local Solutions, in 2008 Congress on Evolutionary Computation (CEC'2008), Hong Kong, pp. 1040--1046, IEEE Service Center, June 2008.

Lily D. Li, Xiaodong Li and Xinghuo Yu. A Multi-Objective Constraint-Handling Method with PSO Algorithm for Constrained Engineering Optimization Problems, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 1528--1535, IEEE Service Center, Hong Kong, June 2008.

Hui Li and Dario Landa-Silva. Evolutionary Multi-Objective Simulated Annealing with Adaptive and Competitive Search Direction, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 3310--3317, IEEE Service Center, Hong Kong, June 2008.

Miqing Li, Jinhua Zheng and Jun Wu. Improving NSGA-II Algorithm Based on Minimum Spanning Tree, in Xiaodong Li, Michael Kirley, Mengjie Zhang, David G. Green, Victor Ciesielski, Hussein A. Abbass, Zbigniew Michalewicz, Tim Hendtlass, Kalyanmoy Deb, Kay Chen Tan, Jürgen Branke and Yuhui Shi (editors), Simulated Evolution and Learning (SEAL 2008), pp. 170--179, Springer. Lecture Notes in Computer Science, Vol. 5361, Melbourne, Australia, December 2008.

Yinghai Li, Jianzhong Zhou, Hui Qin, Youlin Lu and Junjie Yang. Adaptive Niche Multi-Objective Particle Swarm Optimization Algorithm, in Fourth International Conference on Natural Computation (ICNC 2008), pp. 418--422, IEEE Computer Society Press, Jinan, Shandong, China, October 18--20 2008.

Zhongkai Li, Yixiong Feng, Jianrong Tan and Zhe Wei. A methodology to support product platform optimization using multi-objective evolutionary algorithm, Transactions of the Institute of Measurement and Control, Vol. 30, No. 3-4, pp. 295--312, August-October 2008.

M. Li, G. Li and S. Azarm. A kriging metamodel assisted multi-objective genetic algorithm for design optimization, Journal of Mechanical Design, Vol. 130, No. 3, article number 031401, March 2009.

Bin-Bin Li, Ling Wang and Bo Liu. An effective PSO-based hybrid algorithm for multiobjective permutation flow shop scheduling, IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans, Vol. 38, No. 4, pp. 818--831, July, 2008.

Miqing Li, Jinhua Zheng and Jun Wu. Improving NSGA-II Algorithm Based on Minimum Spanning Tree, in Xiaodong Li, Michael Kirley, Mengjie Zhang, David Green, Vic Ciesielski, Hussein Abbass, Zbigniew Michalewicz, Tim Hendtlass, Kalyanmoy Deb, Kay Chen Tan, Jürgen Branke and Yuhui Shi (editors), Simulated Evolution and Learning, 7th International Conference, SEAL 2008, pp. 170--179, Springer. Lecture Notes in Computer Science Vol. 5361, Melbourne, Australia, December 7-10, 2008.

Junfeng Li, Wenzhan Dai and Ye Yang. Multi-Objective Genetic Algorithm Based on the Correlation coefficient and Its Application, in 2008 Chinese Control and Decision Conference, Vols 1-11, pp. 3898--3902, IEEE, Yantai, China, July 02-04, 2008, ISBN 978-1-4244-1733-9.

Lily D. Li, Xiaodong Li and Xinghuo Yu. Power Generation Loading Optimization using a Multi-Objective Constraint-Handling Method via PSO Algorithm, in 2008 6th IEEE International Conference on Industrial Informatics, Vols 1-3, pp. 1530--1535, IEEE, Daejeon, South Korea, July 13-16, 2008, ISBN 978-1-4244-2170-1.

Xueqiang Li and Hai-lin Liu. One MOEA Uniformity Measurement Based on generalized spherical transformation, in 2008 International Conference on Computational-Intelligence and Security, Vols 1 and 2, Proceedings, pp. 168--173, IEEE Computer Society, Suzhou, China, December 13-17, 2008, ISBN 978-1-4244-4196-9.

Junfeng Li and Wenzhan Dai. Multi-objective Evolutionary Algorithm Based on Correlativity and Its Application, in 2008 7th World Congress on Intelligent Control and Automation, Vols 1-3, pp. 7481--7486, IEEE, Chongqing, China, June 25-27, 2008, ISBN 978-1-4244-2113-8.

Junfeng Li and Wenzhan Dai. Multi-objective Evolutionary Algorithm Based on Included Angle Cosine and Its Application, in 2008 International Conference on Information and Automation, Vols 1-4, pp. 1045--1049, IEEE, Changsha, China, June 20-23, 2008, ISBN 978-1-4244-2183-1.

Hui Li and Dario Landa-Silva. An Elitist GRASP Metaheuristic for the Multi-Objective Quadratic Assignment Problem, in Matthias Ehrgott, Carlos M. Fonseca, Xavier Gandibleux, Jin-Kao Hao and Marc Sevaux (editors), Evolutionary Multi-Criterion Optimization. 5th International Conference, EMO 2009, pp. 481--494, Springer. Lecture Notes in Computer Science Vol. 5467, Nantes, France, April 2009.

Miqing Li and Jinhua Zheng. Spread Assessment for Evolutionary Multi-Objective Optimization, in Matthias Ehrgott, Carlos M. Fonseca, Xavier Gandibleux, Jin-Kao Hao and Marc Sevaux (editors), Evolutionary Multi-Criterion Optimization. 5th International Conference, EMO 2009, pp. 216--230, Springer. Lecture Notes in Computer Science Vol. 5467, Nantes, France, April 2009.

L. Li and G. Q. Huang. Multiobjective Evolutionary Optimisation for Adaptive Product Family Design, International Journal of Computer Integrated Manufacturing, Vol. 22, No. 4, pp. 299--314, 2009.

Hui Li and Qingfu Zhang. Multiobjective Optimization Problems With Complicated Pareto Sets, MOEA/D and NSGA-II, IEEE Transactions on Evolutionary Computation, Vol. 13, No. 2, pp. 284--302, April 2009.

Xuebin Li. Study of multi-objective optimization and multi-attribute decision-making for economic and environmental power dispatch, Electric Power Systems Research, Vol. 79, No. 5, pp. 789--795, May 2009.

L. Li and G. Q. Huang. Multiobjecive evolutionary optimisation for adaptive product family design, International Journal of Computer Integrated Manufacturing, Vol. 22, No. 4, pp. 299-314, 2009.

Zhiyong Li, Günter Rudolph and Kenli Li. Convergence performance comparison of quantum-inspired multi-objective evolutionary algorithms, Computers & Mathematics with Applications, Vol. 57, No. 11-12, pp. 1843--1854, June 2009.

Xuebin Li. Multiobjective Optimization and Multiattribute Decision Making Study of Ship's Principal Parameters in Conceptual Design, Journal of Ship Research, Vol. 53, No. 2, pp. 83--92, June 2009.

M. Li, S. Azarm, N. Williams, S. Al Hashimi, A. Almansoori and N. Al Qasas. Integrated multi-objective robust optimization and sensitivity analysis with irreducible and reducible interval uncertainty, Engineering Optimization, Vol. 41, No. 10, pp. 889--908, October 2009.

Zhiyong Li, Songbing Liu, Degui Xiao, Jun Chen and Kenli Li. Multi-Objective Particle Swarm Optimization Algorithm Based on Game Strategies, in 2009 ACM SIGEVO Summit on Genetic and Evolutionary Computation (GEC'2009), pp. 287-294, ACM Press, Shanghai, China, June 12-14 2009. ISBN 978-1-60558-326-6.

Li Li, F. Qiao and Q. D. Wu. ACO-based multi-objective scheduling of parallel batch processing machines with advanced process control constraints, International Journal of Advanced Manufacturing Technology, Vol. 44, No. 9-10, pp. 985-994, October 2009.

Zhaojun Li, Haitao Liao and David W. Coit. A two-stage approach for multi-objective decision making with applications to system reliability optimization, Reliabilty Engineering & System Safety, Vol. 94, No. 10, pp. 1585--1592, October 2009.

Honglin Li, Hailei Zhang, Mingyue Zheng, Jie Luo, Ling Kang, Xiaofeng Liu, Xicheng Wang and Hualiang Jiang. An effective docking strategy for virtual screening based on multi-objective optimization algorithm, BMC Bioinformatics, Vol. 10, Article Number: 58, February 11, 2009.

J.P. Li and A. Wood. Random Search with Species Conservation for Multimodal Functions, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 3164--3171, IEEE Press, Trondheim, Norway, May, 2009.

Xuebin Li. Study of Multi-objective Optimization and Multi-attribute Decision-making for Dynamic Economic Emission Dispatch, Electric Power Components and Systems, Vol. 37, No. 10, pp. 1133--1148, 2009.

ChengFei Li and DeMing Zuo. Fuzzy Multi-objective Particle Swarm Optimization Algorithm using Industrial Purified Terephthalic Acid Solvent Dehydration Process, in 2009 WRI World Congress on Computer Science and Information Engineering, pp. 215--219, IEEE Computer Society, Los Angeles, California, USA, March-April, 2009.

Jun Li and Bo Gao. On chance maximization model in fuzzy random decision systems, Mathematical and Computer Modelling, Vol. 50, No. 3-4, pp. 453--464, August 2009.

Jun Li. Compromise Approach-Based Genetic Algorithm for Constrained Multiobjective Portfolio Selection Model. in Yong Shi, Shouyang Wang, Yi Peng, Jianping Li and Yong Zeng, (editors), Cutting-Edge Research Topics on Multiple Criteria Decision Making (MCDM'2009), pp. 697--704, Springer, Communications in Computer and Information Science, Vol. 35, Heidelberg, Germany, 2009.

G. Li, M. Li, S. Azarm, S. Al Hashimi, T. Al Ameri and N. Al Qasas. Improving multi-objective genetic algorithms with adaptive design of experiments and online metamodeling, Structural and Multidisciplinary Optimization, Vol. 37, No. 5, pp. 447--461, February 2009.

Jinzhong Li, Jintao Zeng, Jiewu Xia, Manhua Li and Changxin Liu. Research on Grid Workflow Scheduling Based on MOPSO Algorithm, in Global Congress on Intelligent Systems, 2009, pp. 199--203, IEEE, Xiamen, May 19-21, 2009.

Rui Li, Yirong Guo, Yujuan Xing and Ming Li. A Novel Multi-Swarm Particle Swarm Optimization algorithm Applied in Active Contour Model, in S. M. Zhou and W. Wang (editors), Proceedings of The 2009 WRI Global Congress on Intelligent Systems, pp. 139--143, IEEE Computer Society Press, Xiamen, China, May 19-21, 2009, ISBN 978-0-7695-3571-5.

Mei-juan Li and Hai-yan Tang. An Improved Genetic Algorithm for Locations Allocation Optimization Problem of Automated Warehouse, in Bingyuan Cao, Tai-Fu Li and Cheng-Yi Zhang (editors), Fuzzy Information and Engineering, Vol. 2, pp. 1549--1560, Springer. Advances in Intelligent and Soft Computing Vol. 62, 2009.

Zhihuan Li, Yinhong Li and Xianzhong Duan. Multiobjective Optimal Reactive Power Flow Using Elitist Nondominated Sorting Genetic Algorithm: Comparison and Improvement, Journal of Electrical Engineering & Technology, Vol. 5, No. 1, pp. 70--78, March, 2010.

Xiaodong Li. Niching Without Niching Parameters: Particle Swarm Optimization Using a Ring Topology, IEEE Transactions on Evolutionary Computation, Vol. 14, No. 1, pp. 150--169, February, 2010.

Yinghai Li, Jianzhong Zhou, Yongchuan Zhang, Hui Qin and Li Liu. Novel Multiobjective Shuffled Frog Leaping Algorithm with Application to Reservoir Flood Control Operation, Journal of Water Resources Planning and Management-ASCE, Vol. 136, No. 2, pp. 217--226, March-April, 2010.

Miqing Li, Jinhua Zheng, Ruimin Shen, Ke Li and Qizhao Yuan. A Grid-Based Fitness Strategy for Evolutionary Many-Objective Optimization, in Proceedings of the 12th annual conference on Genetic and Evolutionary Computation (GECCO'2010), pp. 463--470, ACM Press, Portland, Oregon, USA, July 7--11, 2010, ISBN 978-1-4503-0072-8.

Miqing Li, Jinhua Zheng, Ke Li, Qizhao Yuan and Ruimin Shen. Enhancing Diversity for Average Ranking Method in Evolutionary Many-Objective Optimization. in Robert Schaefer, Carlos Cotta, Joanna Kolodziej and Günter Rudolph (editors) Parallel Problem Solving from Nature--PPSN XI, 11th International Conference, Proceedings, Part I, pp. 647--656, Springer, Lecture Notes in Computer Science Vol. 6238, Kraków, Poland, September, 2010.

Junqing Li and Quanke Pan. A hybrid Pareto-based local search for multi-objective flexible job shop scheduling problem, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 316--320, IEEE Press, Barcelona, Spain, July 18--23, 2010.

Xiaodong Li and Kalyanmoy Deb. Comparing lbest PSO niching algorithms using different position update rules, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 1564--1571, IEEE Press, Barcelona, Spain, July 18--23, 2010.

Hui Li, Dario Landa-Silva and Xavier Gandibleux. Evolutionary multi-objective optimization algorithms with probabilistic representation based on pheromone trails, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 2307--2314, IEEE Press, Barcelona, Spain, July 18--23, 2010.

Rong Li, Timothy R. Mersch, Oriana X. Wen, Assem Kaylani and Georgios C. Anagnostopoulos. Multi-objective memetic evolution of ART-based classifiers, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 3353--3360, IEEE Press, Barcelona, Spain, July 18--23, 2010.

Jian-Ping Li, Xiao-Dong Li and Alastair Wood. Species based evolutionary algorithms for multimodal optimization: A brief review, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 4156--4163, IEEE Press, Barcelona, Spain, July 18--23, 2010.

Yongming Li and Xiaoping Zeng. Sequential multi-criteria feature selection algorithm based on agent genetic algorithm, Applied Intelligence, Vol. 33, No. 2, pp. 117--131, October 2010.

Minqiang Li, Dan Lin and Shouyang Wang. Solving a type of biobjective bilevel programming problem using NSGA-II, Computers & Mathematics with Applications, Vol. 59, No. 2, pp. 706--715, January 2010.

Hai-yang Li, Ya-Zhong Luo, Jin-Zhang and Guo-Jin Tang. Optimal multi-objective linearized impulsive rendezvous under uncertainty, Acta Astronautica, Vol. 66, Nos. 3-4, pp. 439--445, February-March, 2010.

Xi-Ping Li, Guo-Qun Zhao, Yan-Jin Guan and Ming-Xing Ma. Multi-objective optimization of heating channels for rapid heating cycle injection mold using Pareto-based genetic algorithm, Polymers for Advanced Technologies, Vol. 21, No. 9, pp. 669--678, September, 2010

Li Li, Pengyi Yang, Ling Ou, Zili Zhang and Peng Cheng. Genetic Algorithm-Based Multi-objective Optimisation for QoS-Aware Web Services Composition, in Yaxin Bi and Mary-Anne Williams (editors), Knowledge Science, Engineering and Management, 4th International Conference, KSEM 2010, pp. 549--554, Springer. Lecture Notes in Artificial Intelligence Vol. 6291, Belfast, Northern Ireland, UK, September 1-3, 2010.

Jun-qing Li, Quan-ke Pan and Yun-Chia Liang. An effective hybrid tabu search algorithm for multi-objective flexible job-shop scheduling problems, Computers & Industrial Engineering, Vol. 59, No. 4, pp. 647--662, November 2010.

Zhiyong Li, Dong Chen, Ahmed Sallam and Li Zhao. Novel Multi-Objective Genetic Algorithm Based on Static Bayesian Game Strategy, in Ying Tan, Yuhui Shi and Kay Chen Tan (editors), Advances in Swarm Intelligence, First International Conference, ICSI 2010, pp. 612--619, Springer. Lecture Notes in Computer Science Vol. 6145, Beijing, China, June 12-15, 2010.

Junqing Li, Quanke Pan, Shengxian Xie and Jing Liang. A Hybrid Pareto-Based Tabu Search for Multi-objective Flexible Job Shop Scheduling Problem with E/T Penalty, in Ying Tan, Yuhui Shi and Kay Chen Tan (editors), Advances in Swarm Intelligence, First International Conference, ICSI 2010, pp. 620--627, Springer. Lecture Notes in Computer Science Vol. 6145, Beijing, China, June 12-15, 2010.

Jun-qing Li, Quan-ke Pan and Sheng-xian Xie. A Hybrid Variable Neighborhood Search Algorithm for Solving Multi-Objective Flexible Job Shop Problems, Computer Science and Information Systems, Vol. 7, No. 4, pp. 907--930, December 2010.

Minqiang Li, Liu Liu and Dan Lin. A Fast Steady-state Epsilon-dominance Multi-objective Evolutionary Algorithm, Computational Optimization and Applications, Vol. 48, No. 1, pp. 109--138, January 2011.

Qian Li, Linyan Sun and Liang Bao. Enhanced index tracking based on multi-objective immune algorithm, Expert Systems with Applications, Vol. 38, No. 5, pp. 6101--6106, May 2011.

Bing Li, Pei-lin Zhang, Hao Tian, Shuang-shan Mi, Dong-sheng Liu and Guo-quan Ren. A new feature extraction and selection scheme for hybrid fault diagnosis of gearbox, Expert Systems with Applications, Vol. 38, No. 8, pp. 10000--10009, August 2011.

Xiaodong Li. Developing Niching Algorithms in Particle Swarm Optimization, in Bijaya Ketan Panigrahi, Yuhui Shi and Meng-Hiot Lim (editors), Handbook of Swarm Intelligence. Concepts, Principles and Applications, pp. 67--88, Springer-Verlag, Belin, Germany, 2011. ISBN 978-3-642-17389-9.

Haiyan Li, Mingxu Ma and Yuanwei Jing. A new method based on LPP and NSGA-II for multiobjective robust collaborative optimization, Journal of Mechanical Science and Technology, Vol. 25, No. 5, pp. 1071--1079, May, 2011.

H. Li and D. Landa-Silva. An Adaptive Evolutionary Multi-Objective Approach Based on Simulated Annealing, An Adaptive Evolutionary Multi-Objective Approach Based on Simulated Annealing, Vol. 19, No. 4, pp. 561--595, Winter 2011.

Kejing Li and Xiaobing Zhang. Multi-Objective Optimization of Interior Ballistic Performance Using NSGA-II, Propellants Explosives Pyrotechnics, Vol. 36, No. 3, pp. 282--290, June, 2011.

Weihong Li, Lijuan Liu and Weiguo Gong. Multi-objective uniform design as a SVM model selection tool for face recognition, Expert Systems with Applications, Vol. 38, No. 6, pp. 6689--6695, June, 2011.

Ke Li, Álvaro Fialho and Sam Kwong. Multi-Objective Differential Evolution with Adaptive Control of Parameters and Operators, in Carlos A. Coello Coello (editor), Learning and Intelligent Optimization, 5th International Conference, LION 5, pp. 473--487, Springer. Lecture Notes in Computer Science Vol. 6683, Rome, Italy, January 17-21, 2011.

Lijuan Li and Feng Liu. Group Search Optimization for Applications in Structural Design, Springer-Verlag, Berlin, Germany, 2011, ISBN 978-3-642-20535-4.

Jie Li, Changwen Zheng and Xiaohui Hu. A Hypervolume Based Approach for Minimal Visual Coverage Shortest Path, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 1777--1784, IEEE Service Center, New Orleans, Lousiana, USA, 5-8 June, 2011.

Xuanya Li, Linlin Ci, Minghua Yang and Bin Cheng. AExploration-exploitation Balancing Deployment Strategy in UAV Sensor Networks , Information-an International Interdisciplinary Journal, Vol. 14, No. 8, pp. 2701--2710, August 2011.

Shaobo Li, Xin Ma, Qin Li and Guanci Yang. Multi-Objective Evolutionary Algorithm Based on Improved Clonal Selection, in Yuanxu Yu, Zhengtao Yu and Jingying Zhao (editors), Computer Science for Environmental Engineering and EcoInformatics, International Workshop, CSEEE 2011, pp. 218--223, Springer. Communications in Computer and Information Science Vol. 159, Kunming, China, July 29-31, 2011.

R. Li, R. Etemaadi, M.T.M Emmerich and M.R.V Chaudron. An Evolutionary Multiobjective Optimization Approach to Component-Based Software Architecture Design, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 432--439, IEEE Service Center, New Orleans, Louisiana, USA, 5-8 June, 2011.

Jun-Qing Li, Quan-Ke Pan and Kai-Zhou Gao. Pareto-based discrete artificial bee colony algorithm for multi-objective flexible job shop scheduling problems}, International Journal of Advanced Manufacturing Technology, Vol. 55, No. 9-12, pp. 1159--1169, August 2011.

Weidong Li, Lihui Wang, Xinyu Li and Liang Gao. Intelligent Optimisation for Integrated Process Planning and Scheduling, in Lihui Wang, Amos H.C. Ng and Kalyanmoy Deb (editors), Multi-objective Evolutionary Optimisation for Product Design and Manufacturing, Chapter 10, pp. 305--324, Springer, London, UK, 2011, ISBN 978-0-85729-617-7.

Ke Li, Sam Kwong, Jingjing Cao, Miqing Li, Jinhua Zheng and Ruimin Shen. Achieving balance between proximity and diversity in multi-objective evolutionary algorithm, Information Sciences, Vol. 182, No. 1, pp. 220--242, January 1, 2012.

Wei-xing Li, Qian Zhou, Yu Zhu and Feng Pan. An Improved MOPSO with a Crowding Distance Based External Archive Maintenance Strategy, in Ying Tan, Yuhui Shi and Zhen Ji (editors), Advances in Swarm Intelligence, Third International Conference, ICSI 2012, pp. 74--82, Springer. Lecture Notes in Computer Science Vol. 7331, Shenzhen, China, June 17-20, 2012.

Hui Li, Xiaolei Su, Zongben Xu and Qingfu Zhang. MOEA/D with Iterative Thresholding Algorithm for Sparse Optimization Problems, in Carlos A. Coello Coello, Vincenzo Cutello, Kalyanmoy Deb, Stephanie Forrest, Giuseppe Nicosia and Mario Pavone (editors), Parallel Problem Solving from Nature - PPSN XII, 12th International Conference, pp. 93--101, Springer. Lecture Notes in Computer Science Vol. 7492, Taormina, Italy, September 1-5, 2012.

Jun-Fang Li, Bu-Han Zhang, Yi-Fang Lui, Kui Wang and Xiao-Shan Wu. Spatial evolution character of multi-objective evolutionary algorithm based on self-organized criticality theory, Physica A-Statistical Mechanics and its Applications, Vol. 391, No. 22, pp. 5490--5499, November 15, 2012.

Kejing Li and Xiaobing Zhang. Using NSGA-II and TOPSIS Methods for Interior Ballistic Optimization Based on One-Dimensional Two-Phase Flow Model, Propellants Explosives Pyrotechnics, Vol. 37, No. 4, pp. 468--475, August 2012.

Yangyang Li, Jing Chen, Ruochen Liu and Jianshe Wu. A Spectral Clustering-Based Adaptive Hybrid Multi-Objective Harmony Search Algorithm for Community Detection, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 3602--3609, IEEE Press, Brisbane, Australia, June 10-15, 2012.

Junqing Li, Quanke Pan and Shengxian Xie. An effective shuffled frog-leaping algorithm for multi-objective flexible job shop scheduling problems, Applied Mathematics and Computation, Vol. 218, No. 18, pp. 9353--9371, May 15 2012.

Jun-qing Li, Quan-ke Pan and Jing Chen. A Hybrid Pareto-based Local Search Algorithm for Multi-objective Flexible job shop Scheduling Problems, International Journal of Production Research, Vol. 50, No. 4, pp. 1063--1078, 2012.

Xiaohui Li, Farouk Yalaoui, Lionel Amodeo and Hicham Chehade. Metaheuristics and exact methods to solve a multiobjective parallel machines scheduling problem, Journal of Intelligent Manufacturing, Vol. 23, No. 4, pp. 1179--1194, August 2012.

Xiaohui Li, Hicham Chehade, Farouk Yalaoui and Lionel Amodeo. Fuzzy Logic Controller Based Multiobjective Metaheuristics to Solve a Parallel Machines Scheduling Problem, Journal of Multiple-Valued Logic and Soft Computing, Vol. 18, No. 5--6, pp. 617--636, 2012.

Jingpeng Li, Edmund K. Burke, Tim Curtois, Sanja Petrovic and Rong Qu. The falling tide algorithm: A new multi-objective approach for complex workforce scheduling, Omega-International Journal of Management Science, Vol. 40, No. 3, pp. 283--293, June 2012.

Yaohang Li. MOMCMC: An efficient Monte Carlo method for multi-objective sampling over real parameter space, Computers & Mathematics with Applications, Vol. 64, No. 11, pp. 3542--3556, December 2012.

Jiaqi Li, X.Z. Gao, X. Wang and K. Zenger. A Multiple Local Search Strategy in Memetic Evolutionary Computation for Multi-objective Robust Control Design, in 2012 IEEE International Conference on Systems, Man, and Cybernetics, pp. 645--650, IEEE Press, Seoul, Korea, October 14-17, 2012. ISBN 978-1-4673-1714-6.

Zhongkai Li, Zhencai Zhu, Yan Song and Zhe Wei. A multi-objective particle swarm optimizer with distance ranking and its applications to air compressor design optimization, Transactions of the Institute of Measurement and Control, Vol. 34, No. 5, pp. 546--556, July 2012.

Ke Li, Sam Kwong, Ran Wang, Jingjing Cao and Imre J. Rudas. Multi-Objective Differential Evolution with Self-Navigation, in Proceedings 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 508--513, IEEE, Seoul, South Korea, October 14-17, 2012, ISBN 978-1-4673-1714-6.

Xiang Li and Gang Du. BSTBGA: A hybrid genetic algorithm for constrained multi-objective optimization problems, Computers & Operations Research, Vol. 40, No. 1, pp. 282--302, January 2013.

Ran Li, Huizhuo Ma, Feifei Wang, Yihe Wang, Yang Liu and Zenghui Li. Game Optimization Theory and Application in Distribution System Expansion Planning, Including Distributed Generation, Energies, Vol. 6, No. 2, pp. 1101--1124, February 2013.

Ke Li, Sam Kwong, Ran Wang, Kit-Sang Tang and Kim-Fung Man. Learning paradigm based on jumping genes: A general framework for enhancing exploration in evolutionary multiobjective optimization, Information Sciences, Vol. 226, pp. 1--22, March 20, 2013.

Miqing Li, Shengxiang Yang, Xiaohui Liu and Kang Wang. IPESA-II: Improved Pareto Envelope-Based Selection Algorithm II, in Robin C. Purshouse, Peter J. Fleming, Carlos M. Fonseca, Salvatore Greco and Jane Shaw (editors), Evolutionary Multi-Criterion Optimization, 7th International Conference, EMO 2013, pp. 143--155, Springer. Lecture Notes in Computer Science Vol. 7811, Sheffield, UK, March 19-22, 2013.

Miqing Li, Shengxiang Yang, Xiaohui Liu and Ruimin Shen. A Comparative Study on Evolutionary Algorithms for Many-Objective Optimization, in Robin C. Purshouse, Peter J. Fleming, Carlos M. Fonseca, Salvatore Greco and Jane Shaw (editors), Evolutionary Multi-Criterion Optimization, 7th International Conference, EMO 2013, pp. 261--275, Springer. Lecture Notes in Computer Science Vol. 7811, Sheffield, UK, March 19-22, 2013.

Xuekang Li, Xiaohong Hao, Yi Chen, Muhao Zhang and Bei Peng. Multi-Objective Optimizations of Structural Parameter Determination for Serpentine Channel Heat Sink, in Anna I. Esparcia-Alcázar et al. (editors), Applications of Evolutionary Computation, 16th European Conference, EvoApplications 2013, pp. 449--458, Springer. Lecture Notes in Computer Science Vol. 7835, Vienna, Austria, April 3-5, 2013.

Yan-Fu Li, Nicola Pedroni and Enrico Zio. A Memetic Evolutionary Multi-Objective Optimization Method for Environmental Power Unit Commitment, IEEE Transactions on Power Systems, Vol. 28, No. 3, pp. 2660--2669, August 2013.

Ming Li, Liya Wang and Mingxing Wu. A multi-objective genetic algorithm approach for solving feature addition problem in feature fatigue analysis, Journal of Intelligent Manufacturing, Vol. 24, No. 6, pp. 1197--1211, December 2013.

Dapeng Li, Sanjoy Das, Anil Pahwa and Kalyanmoy Deb. A multi-objective evolutionary approach for generator scheduling, Expert Systems with Applications, Vol. 40, No. 18, pp. 7647--7655, December 15, 2013.

Yiming Lia, Chien-Hshueh Chiang, Yu-Yu Chena and Chieh-Yang Chen. Optimal power consumption design of the amorphous silicon thin-film transistor gate driver circuit for 10.1-in. display panel manufacturing, Journal of Information Display, Vol. 14, No. 1, pp. 13--19, 2013.

Xiangtao Li and Minghao Yin. Multiobjective Binary Biogeography Based Optimization for Feature Selection Using Gene Expression Data, IEEE Transactions on Nanobioscience, Vol. 12, No. 4, pp. 343--353, December 2013.

Yiming Li, Yu-Yu Chen, Chieh-Yang Chen, Cheng-Han Shen, Hui-Wen Cheng, I-Hsiu Lo and Chun-Nan Chen. Device Simulation-Based Multiobjective Evolutionary Algorithm for Process Optimization of Semiconductor Solar Cells, Materials and Manufacturing Processes, Vol. 28, No. 7, pp. 761--767, July 3, 2013.

Wei Li, Lei Wang, Bin Wang, Rong Fei and Xinghong Hei. Cloud Droplets Evolution Algorithm for Multi-objective optimization, in 2013 25th Chinese Control and Decision Conference (CCDC), pp. 681--686, IEEE, Guiyang, China, May 25-27, 2013, ISBN 978-1-4673-5532-2.

Ke Li, Alvaro Fialho, Sam Kwong and Qingfu Zhang. Adaptive Operator Selection With Bandits for a Multiobjective Evolutionary Algorithm Based on Decomposition, IEEE Transactions on Evolutionary Computation, Vol. 18, No. 1, pp. 114--130, February 2014.

Zhongkai Li, Guangdong Tian, Gang Cheng, Houguang Liu and Zhihong Cheng. An integrated cultural particle swarm algorithm for multi-objective reliability-based design optimization, Proceedings of the Institution of Mechanical Engineers Part C-Journal of Mechanical Engineering Science, Vol. 228, No. 7, pp. 1185--1196, May 2014.

Jun-Qing Li, Quan-Ke Pan and M. Fatih Tasgetiren. A discrete artificial bee colony algorithm for the multi-objective flexible job-shop scheduling problem with maintenance activities, Applied Mathematical Modelling, Vol. 38, No. 3, pp. 1111--1132, February 1, 2014.

Miqing Li, Shengxiang Yang and Xiaohui Liu. A Test Problem for Visual Investigation of High-Dimensional Multi-Objective Search, in 2014 IEEE Congress on Evolutionary Computation (CEC'2014), pp. 2140--2147, IEEE Press, Beijing, China, 6-11 July 2014, ISBN 978-1-4799-1488-3.

Yexing Li, Xinye Cai, Zhun Fan and Qingfu Zhang. An External Archive Guided Multiobjective Evolutionary Approach Based on Decomposition for Continuous Optimization, in 2014 IEEE Congress on Evolutionary Computation (CEC'2014), pp. 1124--1130, IEEE Press, Beijing, China, 6-11 July 2014, ISBN 978-1-4799-1488-3.

Yang Li, Aimin Zhou and Guixu Zhang. An MOEA/D with Multiple Differential Evolution Mutation Operators, in 2014 IEEE Congress on Evolutionary Computation (CEC'2014), pp. 397--404, IEEE Press, Beijing, China, 6-11 July 2014, ISBN 978-1-4799-1488-3.

Hui Lia, Qingfu Zhang and Jingda Deng. Multiobjective Test Problems with Complicated Pareto Fronts: Difficulties in Degeneracy, in 2014 IEEE Congress on Evolutionary Computation (CEC'2014), pp. 2156--2163, IEEE Press, Beijing, China, 6-11 July 2014, ISBN 978-1-4799-1488-3.

Bingdong Li, Jinlong Li, Ke Tang and Xin Yao. An Improved Two Archive Algorithm for Many-Objective Optimization, in 2014 IEEE Congress on Evolutionary Computation (CEC'2014), pp. 2869--2876, IEEE Press, Beijing, China, 6-11 July 2014, ISBN 978-1-4799-1488-3.

Jingyu Li, Jed Storie and Jeff Clune. Encouraging Creative Thinking in Robots Improves Their Ability to Solve Challenging Problems, in 2014 Genetic and Evolutionary Computation Conference (GECCO 2014), pp. 193--200, ACM Press, Vancouver, Canada, July 12-16, 2014, ISBN 978-1-4503-2662-9. .

Lingbo Li, Mark Harman, Emmanuel Letier and Yuanyuan Zhang. Robust Next Release Problem: Handling Uncertainty During Optimization, in 2014 Genetic and Evolutionary Computation Conference (GECCO 2014), pp. 1247--1254, ACM Press, Vancouver, Canada, July 12-16, 2014, ISBN 978-1-4503-2662-9.

Ke Li and Sam Kwong. A general framework for evolutionary multiobjective optimization via manifold learning, Neurocomputing, Vol. 146, pp. 65--74, December 25, 2014.

Ke Li, Qingfu Zhang, Sam Kwong, Miqing Li and Ran Wang. Stable Matching-Based Selection in Evolutionary Multiobjective Optimization, IEEE Transactions on Evolutionary Computation, Vol. 18, No. 6, pp. 909--923, December 2014.

Yangyang Li, Xia Xu, Peidao Li and Licheng Jiao. Improved RM-MEDA with local learning, Soft Computing, Vol. 18, No. 7, pp. 1383--1397, July 2014.

Lin Li, Xin Yao, Rustam Stolkin, Maoguo Gong and Shan He. An Evolutionary Multiobjective Approach to Sparse Reconstruction, IEEE Transactions on Evolutionary Computation, Vol. 18, No. 6, pp. 827--845, December 2014.

Jinlong Li and Mingying Yan. Pareto Partial Dominance on Two Selected Objectives MOEA on Many-Objective 0/1 Knapsack Problems, in Ying Tan, Yuhui Shi and Carlos A. Coello Coello (editors), Advances in Swarm Intelligence, 5th International Conference, ICSI 2014, pp. 365--373, Springer. Lecture Notes in Computer Science Vol. 8794, Hefei, China, October 17-20, 2014.

Miqing Li, Shengxiang Yang, Jinhua Zheng and Xiaohui Liu. ETEA: A Euclidean Minimum Spanning Tree-Based Evolutionary Algorithm for Multi-Objective Optimization, Evolutionary Computation, Vol. 22, No. 2, pp. 189--230, 2014.

Miqing Li, Shengxiang Yang and Xiaohui Liu. Diversity Comparison of Pareto Front Approximations in Many-Objective Optimization, IEEE Transactions on Cybernetics, Vol. 44, No. 12, pp. 2568--2584, December 2014.

Miqing Li, Shengxiang Yang, Ke Li and Xiaohui Liu. Evolutionary Algorithms with Segment-Based Search for Multiobjective Optimization Problems, IEEE Transactions on Cybernetics, Vol. 44, No. 8, pp. 1295--1313, August 2014.

Miqing Li, Shengxiang Yang and Xiaohui Liu. Shift-Based Density Estimation for Pareto-Based Algorithms in Many-Objective Optimization, IEEE Transactions on Evolutionary Computation, Vol. 18, No. 3, pp. 348--365, June 2014.

Y. Z. Li, Q. H. Wu, M. S. Li and J. P. Zhan. Mean-variance model for power system economic dispatch with wind power integrated, Energy, Vol. 72, pp. 510--520, August 1, 2014.

Yazhi Li, Xiaoping Li and Jatinder N. D. Gupta. Solving the multi-objective flowline manufacturing cell scheduling problem by hybrid harmony search, Expert Systems with Applications, Vol. 42, No. 3, pp. 1409--1417, February 15, 2015.

Yuqiang Li, Shengming Liao and Gang Liu. Thermo-economic multi-objective optimization for a solar-dish Brayton system using NSGA-II and decision making, International Journal of Electrical Power & Energy Systems, Vol. 64, pp. 167--175, January 2015.

Jun Li, Xiaoyong Yang, Chengzu Ren, Guang Chen and Yan Wang. Multiobjective optimization of cutting parameters in Ti-6Al-4V milling process using nondominated sorting genetic algorithm-II, International Journal of Advanced Manufacturing Technology, Vol. 76, No. 5-8, pp. 941--953, February 2015.

Ke Li, Sam Kwong and Kalyanmoy Deb. A dual-population paradigm for evolutionary multiobjective optimization, Information Sciences, Vol. 309, pp. 50--72, July 10, 2015.

Y.S. Lian and M.S. Liou. Multi-objective optimization of transonic compressor blade using evolutionary algorithm, Journal of Propulsion and Power, Vol. 21, No. 6, pp. 979--987, November-December, 2005.

Y.S. Lian and M.S. Liou. Multiobjective optimization using coupled response surface model and evolutionary algorithm, AIAA Journal, Vol. 43, No. 6, pp. 1316--1325, June, 2005.

Zhigang Lian. A united search particle swarm optimization algorithm for multiobjective scheduling problem, Applied Mathematical Modelling, Vol. 34, No. 11, pp. 3518--3526, November, 2010.

Simon J. Liang and John M. Lewis. Job Shop Scheduling Using Multiple Criteria. In Proceedings of the Joint Hungarian-British Mechatronic Conference, pages 77-82. Computational Mechanics, September 1994.

Yu Liang, XiaoQuan Cheng, ZhengNeng Li and JinWu Xiang. Effect of cavity flame holder configuration on combustion flow field performance of integrated hypersonic vehicle, Science China-Technological Sciences, Vol. 53, No. 10, pp. 2708--2717, October, 2010.

Yu Liang, XiaoQuan Cheng, ZhengNeng Li and JinWu Xiang. Multi-objective robust airfoil optimization based on non-uniform rational B-spline (NURBS) representation, Science China-Technological Sciences, Vol. 53, No. 10, pp. 2708--2717, October, 2010.

Yun-Chia Liang and Min-Hua Lo. Multi-objective redundancy allocation optimization using a variable neighborhood search algorithm, Journal of Heuristics, Vol. 16, No. 3, pp. 511--535, June, 2010.

Yu Liang, Xiao-quan Cheng, Zheng-neng Li and Jin-wu Xiang. Robust Multi-Objective Wing Design Optimization Via CFD Approximation Model, Engineering Applications of Computational Fluid Mechanics, Vol. 5, No. 2, pp. 286--3000, June, 2011.

Chengji Liang, Jianquan Guo and Yang Yang. Multi-objective hybrid genetic algorithm for quay crane dynamic assignment in berth allocation planning, Journal of Intelligent Manufacturing, Vol. 22, No. 3, pp. 471--479, June 2011.

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Chun-An Liu. New Multiobjective PSO Algorithm for Nonlinear Constrained Programming Problems, in Rubin Wang, Fanji Gu and Enhua Shen (editors), Advances in Cognitive Neurodynamics, pp. 955--962, Humana Press, Inc., Totowa, New Jersey, USA, 2008, ISBN 978-1-4020-8386-0.

Wudong Liu, Qingfu Zhang, Edward Tsang and Botond Virginas. Tchebycheff Approximation in Gaussian Process Model Composition for Multi-Objective Expensive Black Box, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 3065-3070, IEEE Service Center, Hong Kong, June 2008.

Chun-An Liu and Yuping Wang. A new dynamic multi-objective optimization evolutionary algorithm, International Journal of Innovative Computing Information and Control, Vol. 4, No. 8, pp. 2087--2096, August 2008.

Tung-Kuan Liu, Chi-Ruey and Yu-Hern Chang. Disruption Management of an Inequality-Based Multi-Fleet Airline Scheduling by a Multi-Objective Genetic Algorithm, Transportation Planning and Technology, Vol. 31, No. 6, pp. 613--639, December 2008.

Wei Liu and Yuying Yang. Multi-objectivve optimization of sheet metal forming process using Pareto-based genetic algorithm, Journal of Materials Processing Technology, Vol. 208, No. 1-3, pp. 499-506, November 21 2008.

Ji-cheng Liu, Su-li Yan and Jian-xun Qi. A hybrid particle swarm optimization approach with neural network and set pair analysis for transmission network planning, Journal of Central South University of Technology, Vol. 15, pp. 321--326, December, 2008.

Hai-lin Liu, Xueqiang Li and Yuqing Chen. Multi-Objective Evolutionary Algorithm Based on Dynamical Crossover and Mutation, in 2008 International Conference on Computational Intelligence and Security (CIS'2008), pp. 150--155, IEEE Computer Society, Suzhou, China, December, 2008.

D. S. Liu, K. C. Tan, S. Y. Huang, C. X. Goh and W. K. Ho. On Solving Multiobjective Bin Packing Problems Using Evolutionary Particle Swarm Optimization, European Journal of Operational Research, Vol. 190, No. 2, pp. 357--382, October 16, 2008.

Liu Liu, Minqiang Li and Dan Lin. Replacement Strategies in Steady-State Multi-objective Evolutionary Algorithm: A Comparative Case Study, in M. Z. Guo, L. Zhao and L. P. Wang (editor), ICNC 2008: Fourth International Conference on Natural Computation, Vol 1, Proceedings, pp. 645--649, IEEE Computer Society, Jian, China, October 18-20, 2008, ISBN 978-0-7695-3304-9.

Junwan Liu, Zhoujun Li, Feifei Liu and Yiming Chen. Multi-Objective Particle Swarm Optimization Biclustering of Microarray Data, in X. Chen, X. Hu and S. Kim (editors), 2008 IEEE International Conference on Bioinformatics and Biomedicine, Proceedings, pp. 363--366, IEEE Computer Society, Philadelphia, Pa, November 03-05, 2008, ISBN 978-0-7695-3452-7.

Rui Liu and Xiaoya Wang. Using Elitist Particle Swarm Optimization to Facilitate Real Estate Portfolio Based on Information Entropy, in 2008 International Conference on Risk Management and Engineering Management, ICRMEM 2008, Proceedings, pp. 633--638, IEEE Computer Society, Beijing, China, November 04-06, 2008, ISBN 978-0-7695-3402-2.

Xiaofeng Liu, Fang Bai, Sisheng Ouyang, Xicheng Wang, Honglin Li and Huangling Jiang. Cyndi: a multi-objective evolution algorithm based method for bioactive molecular conformational generation, BMC Bioinformatics, Vol. 10, Article No. 101, March 31, 2009.

Chun'an Liu and Yunping Wang. Multiobjective evolutionary algorithm for dynamic nonlinear constrained optimization problems, Journal of Systems Engineering and Electronics, Vol. 20, No. 1, pp. 204--210, February, 2009.

Yang Liu. Automatic calibration of a rainfall-runoff model using a fast and elitist multi-objective particle swarm algorithm, Expert Systems with Applications, Vol. 36, No. 5, pp. 9533--9538, July 2009.

Hai-Lin Liu, Yuping Wang and Yiu-Ming Cheung. A Multi-Objective Evolutionary Algorithm Using Min-Max Strategy and Sphere Coordinate Transformation, Intelligent Automation and Soft Computing, Vol. 15, No. 3, pp. 361--384, 2009

Wei Liu, Yuying Yang, Zhongwen Xing and Lihong Zhao. Springback control of sheet metal forming based on the response-surface method and multi-objective genetic algorithm, Materials Science and Engineering A-Structural Materials Properties Microstructure and Processing, Vol. 499, No. 1-2, pp. 325--328, January 15 2009.

Liu Liu, Minqiang Li and Lin Dan. An Exploratory Study on Dominance Resistant Solutions in Many Objectives Optimization, in 2009 ACM SIGEVO Summit on Genetic and Evolutionary Computation (GEC'2009), pp. 353-360, ACM Press, Shanghai, China, June 12-14 2009. ISBN 978-1-60558-326-6.

Hai-lin Liu and Xueqiang Li. The multiobjective evolutionary algorithm based on determined weight and sub-regional search, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 1928--1934, IEEE Press, Trondheim, Norway, May, 2009.

Minzhong Liu, Xiufen Zou, Yu Chen and Zhijian Wu. Performance Assessment of DMOEA-DD with CEC 2009 MOEA Competition Test Instances, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 2913--2918, IEEE Press, Trondheim, Norway, May, 2009.

Yanbing Liu and Jun Huang. A Novel Fast Multi-objective Evolutionary Algorithm for QoS Multicast Routing in MANET, International Journal of Computational Intelligence Systems, Vol. 2, No. 3, pp. 288-297, October, 2009.

Junwan Liu, Zhoujun Li and Yiming Chen. Microarray Data Biclustering with Multi-Objective Immune Algorithm, in Haiying Wang, Kay Soon Low, Kexin Wei, and Junqing Sun, (editors), Fifth International Conference on Natural Computation (ICNC'2009), pp. 200-204, IEEE Computer Society, Tianjian, China, August 14-16, 2009.

Liqin Liu, Xueliang Zhang, Liming Xie and Juan Du. A Novel Multi-Objective Particle Swarm Optimization based on Dynamic Crowding Distance, in 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS 2009), pp. 481--485, IEEE Computer Society, Shanghai, China, November 22-24, 2009.

Tung-Kuan Liu, Chiu-Hung Chen, Zu-Shu Li and Jyh-Horng Chou. Method of Inequalities-based Multiobjective Genetic Algorithm for Optimizing a Cart-double-pendulum System, International Journal of Automation and Computing, Vol. 6, No. 1, pp. 29--37, February, 2009.

Junwan Liu, Zhoujun Li, Xiaohua Hu and Yiming Chen. Biclustering of microarray data with MOSPO based on crowding distance, BMC Bioinformatics, Vol. 10, Suppl. 4. Art. Number S9, April 29, 2009.

Kun-Hong Liu, Bo Li, Jun Zhang and Ji-Xiang Du. Ensemble Component Selection for Improving ICA Based Microarray Data Prediction Models, Pattern Recognition, Vol. 42, No. 7, pp. 1274--1283, July, 2009.

Hongbo Liu, Ajith Abraham and Zuwen Wang. A Multi-swarm Approach to Multi-objective Flexible Job-shop Scheduling Problems, Fundamenta Informaticae, Vol. 95, No. 4, pp. 465--489, 2009.

Bo Liu, Francisco V. Fernandez, Peng Gao and Georges Gielen. A Fuzzy Selection Based Constraint Handling Method for Multi-objective Optimization of Analog Cells, in 2009 European Conference on Circuit Theory Design, pp. 611--614, IEEE Press, Antalya, Turkey, August 23-27, 2009, ISBN 978-1-4244-3895-2.

Jian-guo Liu. Competitive Coevolutionary Genetic Algorithms for Multiobjective Optimization Problems, in 2009 International Conference on Artificial Intelligence and Computational Intelligence, Vol III, Proceedings, pp. 594--597, IEEE Computer Society, Shanghai, China, November 07-08, 2009, ISBN 978-0-7695-3816-7.

Tung-Kuan Liu, Chiu-Hung Chen and Jyh-Horng Chou. Optimization of short-haul aircraft schedule recovery problems using a hybrid multiobjective genetic algorithm, Expert Systems with Applications, Vol. 37, No. 3, pp. 2307--2315, March 15, 2010.

Xuemei Liu, Xiao-Hui Zhang and Jin Yuan. Relevance vector machine and fuzzy system based multi-objective dynamic design optimization: A case study, Expert Systems With Applications, Vol. 37, No. 5, pp. 3598--3604, May, 2010.

J. -L. Liu and T. -F. Lee. A Modified Non-Dominated Sorting Genetic Algorithm with Fractional Factorial Design for Multi-Objective Optimization Problems, Journal Of Mechanics, Vol. 26, No. 2, pp. 143--156, June, 2010.

Ruochen Liu, Wei Zhang, Licheng Jiao, Fang Liu and Jingjing Ma. A Sphere-Dominance Based Preference Immune-Inspired Algorithm for Dynamic Multi-Objective Optimization, in Proceedings of the 12th annual conference on Genetic and Evolutionary Computation (GECCO'2010), pp. 423--430, ACM Press, Portland, Oregon, USA, July 7--11, 2010, ISBN 978-1-4503-0072-8.

Hong Liu, Qishan Zhang and Ligang Yao. Multi-objective Particle Swarm Optimization Algorithm Based on Grey Relational Analysis with Entropy Weight, Journal Of Grey System, Vol. 22, No. 3, pp. 265--274, 2010.

Lei Liu, Junwei Lu, Shiyou Yang and Guangzheng Ni. Multi-objective design optimization of an inverted-S antenna, International Journal Of Applied Electromagnetics And Mechanics, Vol. 33, No. 3-4, pp. 1049--1055, 2010.

Ying Liu, Sudha Ram, Robert F. Lusch and Michael Brusco. Multicriterion Market Segmentation: A New Model, Implementation, and Evaluation, Marketing Science, Vol. 29, No. 5, pp. 880--894, September-October, 2010.

Yang Liu and Fan Sun. Sensitivity Analysis and Automatic Calibration of a Rainfall-runoff Model Using Multi-objectives, Ecological Informatics, Vol. 5, No. 4, pp. 304--310, July 2010.

Bo Liu, Francisco V. Fernández, Qingfu Zhang, Murat Pak, Suha Sipahi and Goerges Gielen. An enhanced MOEA/D-DE and its application to multiobjective analog cell sizing, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 960--966, IEEE Press, Barcelona, Spain, July 18--23, 2010.

Jing Liu, Weicai Zhong, Hussein A. Abbass and David G. Green. Separated and Overlapping Community Detection in Complex Networks using Multiobjective Evolutionary Algorithms, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 4049--4055, IEEE Press, Barcelona, Spain, July 18--23, 2010.

Fang Liu, Maoguo Gong, Jingjing Ma, Licheng Jiao and Wei Zhang. Optimizing detector distribution in V-detector negative selection using a constrained multiobjective immune algorithm, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 3643--3650, IEEE Press, Barcelona, Spain, July 18--23, 2010.

Jenn-Long Liu and Jiann-Horng Lin. Hostile area for facility monitoring with an optimal wireless sensor network deployment, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 2824--2831, IEEE Press, Barcelona, Spain, July 18--23, 2010.

Yu Liu, Zhaofa Yan, Wentao Li, Mingwei Lv and Yuan Yao. An Automatic Niching Particle Swarm for Multimodal Function Optimization, in Ying Tan, Yuhui Shi and Kay Chen Tan (editors), Advances in Swarm Intelligence, First International Conference, ICSI 2010, pp. 110--119, Springer. Lecture Notes in Computer Science Vol. 6145, Beijing, China, June 12-15, 2010.

Yue Liu, Gang-Len Chang and Jie Yu. An Integrated Control Model for Freeway Corridor Under Nonrecurrent Congestion, IEEE Transactions on Vehicular Technology, Vol. 60, No. 4, pp. 1004--1418, May, 2011.

Li-Lan Liu, Gai-Ping Zhao, Shu-Sheng Ou'Yang and Ying-Jie Yang. Integrating theory of constraints and particle swarm optimization in order planning and scheduling for machine tool production, International Journal of Advanced Manufacturing Technology, Vol. 57, No. 1-4, pp. 285--296, November 2011.

Junwan Liu, Zhoujun Li, Xiaohua Hu, Yiming Chen and E.K. Park. Dynamic biclustering of microarray data by multi-objective immune optimization , BMC Genomics, Vol. 12, No. 2, Article number: S11, July 27, 2011.

Hai-lin Liu and Fangqing Gu. A Improved NSGA-II Algorithm Based on Sub-regional Search, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 1906--1911, IEEE Service Center, New Orleans, Louisiana, USA, 5-8 June, 2011.

Dapeng Liu. Multi-Objective Cultural Algorithms, PhD thesis, Wayne State University, Detroit, Michigan, USA, 2011.

Dedi Liu, Shenglian Guo, Xiaohong Chen, Quanxi Shao, Qihua Ran, Xingyuan Song and Zhaoli Wang. A macro-evolutionary multi-objective immune algorithm with application to optimal allocation of water resources in Dongjiang River basins, South China, Stochastic Environmental Research and Risk Assessement, Vol. 26, No. 4, pp. 491--507, May, 2012.

Junwan Liu, Zhoujun Li, Xiaohua Hu, Yiming Chen and Feifei Liu. Multi-objective dynamic population shuffled frog-leaping biclustering of microarray data, BMC Genomics, Vol. 13, No. 3, Article Number: S6, June 11, 2012.

Ying Liu, Melody Kiang and Michael Brusco. A unified framework for market segmentation and its applications, Expert Systems with Applications, Vol. 39, No. 11, pp. 10292--10302, September 1, 2012.

Jun Liu, Xuemei Ren and Hongbin Ma. Adaptive swarm optimization for locating and tracking multiple targets, Applied Soft Computing, Vol. 12, No. 11, pp. 3656--3670, November 2012.

Linzhong Liu, Haibo Mu, Xinfeng Yang, Ruichun He and Yinzhen Li. An oriented spanning tree based genetic algorithm for multi-criteria shortest path problems, Applied Soft Computing, Vol. 12, No. 1, pp. 506--515, January 2012.

Hai-lin Liu, Wen-qin Chen and Fangqing Gu. A novel multiobjective differential evolutionary algorithm based on subregion search, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 355--360, IEEE Press, Brisbane, Australia, June 10-15, 2012.

Ruochen Liu, Xiao Wang, Yangyang Li and Xiangrong Zhang. Multi-objective invasive weed optimization algorithm for clustering, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 1556--1563, IEEE Press, Brisbane, Australia, June 10-15, 2012.

Ruochen Liu, Yong Liu and Yangyang Li. An improved method for multi-objective clustering ensemble algorithm, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 3293--3300, IEEE Press, Brisbane, Australia, June 10-15, 2012.

Xiao-feng Liu, Zhong-ren Peng, Yun-tao Chang and Li-ye Zhang. Multi-objective evolutionary approach for UAV cruise route planning to collect traffic information, Journal of Central South University, Vol. 19, No. 12, pp. 3614--3621, December 2012.

YaoLin Liu, DianFeng Liu, YanFang Liu, JianHua He, LiMin Jiao, YiYun Chen and XiaoFeng Hong. Rural land use spatial allocation in the semiarid loess hilly area in China: Using a Particle Swarm Optimization model equipped with multi-objective optimization techniques, Science China-Earth Sciences, Vol. 55, No. 7, pp. 1166--1177, July 2012.

Shih-Hsi Liu, Matej Crepinsek and Marjan Mernik. Analysis of VEGA and SPEA2 Using Exploration and Exploitation Measures, in Bogdan Filipic and Jurij Silc (editors), Bioinspired Optimization Methods and Their Applications, Proceedings of the Fifth International Conference on Bioinspired Optimization Methods and their Applications, BIOMA 2012, pp. 97--108, Jozef Stefan Institute, Bohinj, Slovenia, 24-25 May, 2012, ISBN 978-961-264-043-9.

Ruochen Liu, Xiao Wang, Jing Liu, Lingfen Fang and Licheng Jiao. A preference multi-objective optimization based on adaptive rank clone and differential evolution, Natural Computing, Vol. 12, No. 1, pp. 109--132, March 2013.

Yang Liu and Gareth Pender. Automatic calibration of a rapid flood spreading model using multiobjective optimisations, Soft Computing, Vol. 17, No. 4, pp. 713--724, April 2013.

Yang Liu and Fan Sun. Parameter estimation of a pressure swing adsorption model for air separation using multi-objective optimisation and support vector regression model, Expert Systems with Applications, Vol. 40, No. 11, pp. 4496--4502, September 1, 2013.

Hai-lin Liu and Dan Wang. A Constrained Multiobjective Evolutionary Algorithm based Decomposition and Temporary Register, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 3058--3063, IEEE Press, Cancún, México, 20-23 June, 2013, ISBN 978-1-4799-0454-9.

Bo Liu, Qingfu Zhang, Francisco V. Fernandez and Georges G.E. Gielen. An Efficient Evolutionary Algorithm for Chance-Constrained Bi-Objective Stochastic Optimization, IEEE Transactions on Evolutionary Computation, Vol. 17, No. 6, pp. 786--796, December 2013.

Weidong Liu, Hua Zhu, Yiping Wang, Shengqiang Zhou, Yalei Bai and Chunsheng Zhao. Topology optimization of support structure of telescope skin based on bit-matrix representation NSGA-II, Chinese Journal of Aeronautics, Vol. 26, No. 6, pp. 1422--1429, December 2013.

Zhuangcheng Liu, Shuai Ma, Yanjun Shi and Hongfei Teng. Solving Multi-objective Flexible Job Shop Scheduling with Transportation Constraints using a Micro Artificial Bee Colony Algorithm, in W. Shen, W. Li, J.P. Barthes, J. Luo, H. Zhu, J. Yong and X. Li (editors), Proceedings of the 2013 IEEE 17th International Conference on Computer Supported Cooperative Work in Design (CSCWD 2013), pp. 427--432, IEEE Press, Whistler, Canada, June 27-29, 2013, ISBN 978-1-4673-6085-2.

Hai-Lin Liu, Fangqing Gu, Yiu-Ming Cheung, Shengli Xie and Jun Zhang. On Solving WCDMA Network Planning Using Iterative Power Control Scheme and Evolutionary Multiobjective Algorithm, IEEE Computational Intelligence Magazine, Vol. 9, No. 1, pp. 44--52, February 2014.

Qiong Liu, Chaoyong Zhang, Keren Zhu and Yunqing Rao. Novel multi-objective resource allocation and activity scheduling for fourth party logistics, Computers & Operations Research, Vol. 44, pp. 44--51, April 2014.

Cheng-Hsiang Liu. Approximate trade-off between minimisation of total weighted tardiness and minimisation of carbon dioxide (CO2) emissions in bi-criteria batch scheduling problem, International Journal of Computer Integrated Manufacturing, Vol. 27, No. 8, pp. 759--771, August 3, 2014.

Min Liu, Jinhua Zheng, Junnian Wang, Yuzhen Liu and Lei Jiang. An Adaptive Diversity Introduction Method for Dynamic Evolutionary Multiobjective Optimization, in 2014 IEEE Congress on Evolutionary Computation (CEC'2014), pp. 3160--3167, IEEE Press, Beijing, China, 6-11 July 2014, ISBN 978-1-4799-1488-3.

Ruochen Liu, Chenlin Ma, Fei He, Wenping Ma and Licheng Jiao. Reference direction based immune clone algorithm for many-objective optimization, Frontiers of Computer Science, Vol. 8, No. 4, pp. 642--655, August 2014.

Xingrang Liu and R.C. Bansal. Integrating multi-objective optimization with computational fluid dynamics to optimize boiler combustion process of a coal fired power plant, Applied Energy, Vol. 130, pp. 658--669, October 1, 2014.

Ruochen Liu, Yangyang Chen, Wenping Ma, Caihong Mu and Licheng Jiao. A novel cooperative coevolutionary dynamic multi-objective optimization algorithm using a new predictive model, Soft Computing, Vol. 18, No. 10, pp. 1913--1929, October 2014.

Nian Liu, Zheng Chen, Jie Liu, Xiao Tang, Xiangning Xiao and Jianhua Zhang. Multi-objective optimization for component capacity of the photovoltaic-based battery switch stations: Towards benefits of economy and environment, Energy, Vol. 64, pp. 779--792, January 1, 2014.

Chenlong Liu, Jing Liu and Zhongzhou Jiang. A Multiobjective Evolutionary Algorithm Based on Similarity for Community Detection from Signed Social Networks, IEEE Transactions on Cybernetics, Vol. 44, No. 12, pp. 2247--2287, December 2014.

Bingyu Liu, Cuirong Wang and Cong Wang. Multiobjective Genetic Method for Community Discovery in Complex Networks, in Ying Tan, Yuhui Shi and Carlos A. Coello Coello (editors), Advances in Swarm Intelligence, 5th International Conference, ICSI 2014, pp. 404--413, Springer. Lecture Notes in Computer Science Vol. 8794, Hefei, China, October 17-20, 2014.

Giovanni Lizárraga, Arturo Hernández and Salvador Botello.A Set of Test Cases for Performance Measures in Multiobjective Optimization, in Alexander F. Gelbukh and Eduardo F. Morales (editors) MICAI 2008: Advances in Artificial Intelligence, 7th Mexican International Conference on Artificial Intelligence, pp. 429--439, Springer. Lecture Notes in Computer Science Vol. 5317, Atizapán de Zaragoza, Mexico, October 27-31, 2008. ISBN 978-3-540-88635-8.

Giovanni Lizárraga, Arturo Hernández and Salvador Botello. Some Demonstrations about the Cardinality of Important Sets of Non-dominated Sets, in Alexander F. Gelbukh and Eduardo F. Morales (editors) MICAI 2008: Advances in Artificial Intelligence, 7th Mexican International Conference on Artificial Intelligence, pp. 440--450, Springer. Lecture Notes in Computer Science Vol. 5317, Atizapán de Zaragoza, Mexico, October 27-31, 2008. ISBN 978-3-540-88635-8.

Giovanni Lizárraga Lizárraga, Arturo Hernández Aguirre and Salvador Botello Rionda. G-Metric: an M-ary Quality Indicator for the Evaluation of Non-dominated Sets, in 2008 Genetic and Evolutionary Computation Conference (GECCO'2008), pp. 665--672, ACM Press, Atlanta, USA, July 2008, ISBN 978-1-60558-131-6.

Giovanni Lizárraga Lizárraga, Arturo Hernández Aguirre and Salvador Botello Rionda. On the Possibility to Create a Compatible-Complete Unary Comparison Method for Evolutionary Multiobjective Algorithms, in 2008 Genetic and Evolutionary Computation Conference (GECCO'2008), pp. 759--760, ACM Press, Atlanta, USA, July 2008, ISBN 978-1-60558-131-6.

Giovanni Lizárraga Lizárraga. On the Evaluation of the Quality of Non-dominated Sets, PhD thesis, Center for Research in Mathematics A.C., Computer Science Area, Guanajuato, México, April 2009 (abstract).

Giovanni Lizárraga, Arturo Hernández and Salvador Botello. A benchmark for quality indicators in multi-objective optimization, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 1833--1834, ACM Press, Montreal, Canada, July 8--12 2009. ISBN 978-1-60558-325-9 .

Giovanni Lizárraga, Marco Jimenez Gomez, Mauricio Garza Castañon, Jorge Acevedo-Davila and Salvador Botello Rionda. Why Unary Quality Indicators Are Not Inferior to Binary Quality Indicators, in Arturo Hernández Aguirre, Raúl Monroy Borja and Carlos Alberto Reyes García (editors), MICAI 2009: Advances in Artificial Intelligence. 8th Mexican International Conference on Artificial Intelligence, pp. 646--657, Springer, Lecture Notes in Artificial Intelligence Vol. 5845, Guanajuato, México, November 2009.

Javier Llamas-Galilea, Oliver C. Gobin and Ferdi Schueth. Comparison of Single- And Multiobjective Design of Experiment in Combinatorial Chemistry for the Selective Dehydrogenation of Propane, Journal Of Combinatorial Chemistry, Vol. 11, No. 5, pp. 907--913, September-October, 2009.

Xavier Llorà, David E. Goldberg, Ivan Traus and Ester Bernadó. Accuracy, parsimony and generality in evolutionary learning systems via multiobjective selection, in Learning Classifier Systems, Springer, Lecture Notes in Artificial Intelligence Vol. 2661, pp. 118--142, 2002.

Xavier Llorà and David E. Goldberg, Bounding the Effect of Noise in Multiobjective Learning Classifier Systems, Evolutionary Computation, Vol. 11, No. 3, pp. 279--298, Fall 2003.

Xavier Llorà, Kumara Sastry, David E. Goldberg, Abhimanyu Gupta and Lalitha Lakshmi. Combating User Fatigue in iGAs: Partial Ordering, Support Vector Machines and Synthetic Fitness, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 1363--1370, Vol. 2, ACM Press, New York, USA, June 2005.

Chi-Chun Lo and Wei-Hsin Chang. A Multiobjective Hybrid Genetic Algorithm for the Capacitated Multipoint Network Design Problem, in 1999 IEEE International Conference on Communications, Vol. 3, pp. 1573--1576, 1999.

Chi-Chun Lo and Wei-Hsin Chang. A Multiobjective Hybrid Genetic Algorithm for Capacitated Multipoint Network Design Problem, IEEE Transactions on Systems, Man and Cybernetics Part B: Cybernetics, 30(3):461-470, June 2000.

Darrell F. Lochtefeld and Frank W. Ciarallo. Deterministic Helper-Objective Sequences Applied to Job-Shop Scheduling, in Proceedings of the 12th annual conference on Genetic and Evolutionary Computation (GECCO'2010), pp. 431--438, ACM Press, Portland, Oregon, USA, July 7--11, 2010, ISBN 978-1-4503-0072-8.

Darrell F. Lochtefeld and Frank W. Ciarallo. Helper-objective optimization strategies for the Job-Shop Scheduling Problem, Applied Soft Computing, Vol. 11, No. 6, pp. 4161--4174, September 2011.

Herve Locteau, Romain Raveaux, Sebastien Adam, Yves Lecourtier, Pierre Heroux and Eric Trupin. Polygonal Approximation of Digital Curves Using a Multi-objective Genetic Algorithm, in Wenyin Liu and Josep Llad&ocaute;s (editors), Graphics Recognition. Ten Years Review and Future Perspectives, 6th Internation Workshop, GREC 2005, pp. 300--311, Springer. Lecture Notes in Computer Science Vol. 3926, Hong Kong, China, August 25-26, 2005.

Hervé Locteau, Romain Raveaux, Sébastien Adam, Yves Lecourtier, Pierre Héroux and Eric Trupin. Approximation of digital curves using a multi-objective genetic algorithm, in 18th International Conference on Pattern Recognition (ICPR'06), pp. 716--719, IEEE Computer Society, Hong Kong, China, August 20-24, 2006, ISBN 0-7695-2521-0.

F. Logist, P. M. M. Van Erdeghem and J. F. Van Impe. Efficient deterministic multiple objective optimal control of (bio)chemical processes, Chemical Engineering Science, Vol. 64, No. 11, pp. 2527--2538, June 2009.

Jason D. Lohn, William F. Kraus and Gary L. Haith. Comparing a Coevolutionary Genetic Algorithm for Multiobjective Optimization, in Congress on Evolutionary Computation (CEC'2002), Vol. 2, pp. 1157--1162, IEEE Service Center, Piscataway, New Jersey, May 2002

Jason D. Lohn, William F. Kraus and Gregory S. Hornby. Multi-Objective Particle Swarm Optimization Algorithm for Scheduling in Flowshops to Minimize Makespan and Total Flowtime and Completion Time Variance. in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 4012-4018, IEEE Press, Singapore, September 2007.

Dome Lohpetch and David Corne. Multiobjective Algorithms for Financial Trading: Multiobjective Out-trades Single-Objective, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 192--199, IEEE Service Center, New Orleans, Louisiana, USA, 5-8 June, 2011.

Andre Lombardi, Denise Ferrari and Luis Santos. Aircraft Air Inlet Design Optimization via Surrogate-Assisted Evolutionary Computation, in António Gaspar-Cunha, Carlos Henggeler Antunes and Carlos Coello Coello (editors), Evolutionary Multi-Criterion Optimization, 8th International Conference, EMO 2015, pp. 313--327, Springer. Lecture Notes in Computer Science Vol. 9019, Guimarães, Portugal, March 29 - April 1, 2015.

Jiancheng Long, W.Y. Szeto and Hai-Jun Huang. A bi-objective turning restriction design problem in urban road networks, European Journal of Operational Research, Vol. 237, No. 2, pp. 426--439, September 1, 2014.

J. de Lope and D. Maravall. Multi-objective dynamic optimization for automatic parallel parking, in Computer Aided Systems Theory -- Eurocast 2005, pp. 513--518, Springer-Verlag. Lecture Notes in Computer Science Vol. 3643, 2005.

Manuel López-Ibáñez, Luís Paquete and Thomas Stützle. On the Design of ACO for the Biobjective Quadratic Assignment Problem, in Marco Dorigo, Mauro Birattari, Christian Blum, Luca M. Gambardella, Francesco Mondada and Thomas Stützle (editors), Proceedings of the 4th International Workshop on Ant Colony Optimization and Swarm Intelligence, ANTS 2004, Belgium, Springer, Lecture Notes in Computer Science, Vol. 3172, pp. 214--225, 2004.

Manuel López-Ibáñez, T. Devi Prasad and Ben Paechter. Multi-Objective Optimisation of the Pump Scheduling Problem using SPEA2, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 435--442, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.

Antonio López-Jaimes and Carlos Coello Coello. MRMOGA: Parallel Evolutionary Multiobjective Optimization using Multiple Resolutions, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 2294--2301, Vol. 3, IEEE Service Center, Edinburgh, Scotland, September 2005.

Manuel López-Ibáñez, Luís Paquete and Thomas Stützle. Hybrid Population-Based Algorithms for the Bi-Objective Quadratic Assignment Problem, Journal of Mathematical Modelling and Algorithms, Vol. 5, No. 1, pp. 111-137, April 2006.

Antonio López Jaimes and Carlos A. Coello Coello. MRMOGA: A New Parallel Multi-Objective Evolutionary Algorithm Based on the Use of Multiple Resolutions, Concurrency and Computation: Practice and Experience, Vol. 19, No. 4, pp. 397--441, March 25, 2007.

A.G. Lopez-Herrera, E. Herrera-Viedma, F. Herrera, C. Porcel and S. Alonso. Multi-objective Evolutionary Algorithms in the Automatic Learning of Boolean Queries: A Comparative Study, in Oscar Castillo, Patricia Melin, Oscar Montiel Ross, Roberto Sepúlveda Cruz, Witold Pedrycz and Janusz Kacprzyk (editors), Theoretical Advances and Applications of Fuzzy Logic and Soft Computing, pp. 71--80, Springer-Verlag, Berlin, 2007.

Antonio López Jaimes, Carlos A. Coello Coello and Debrup Chakraborty. Objective Reduction Using a Feature Selection Technique, 2008 Genetic and Evolutionary Computation Conference (GECCO'2008), pp. 673--680, ACM Press, Atlanta, USA, July 2008, ISBN 978-1-60558-131-6 .

Antonio López Jaimes and Carlos A. Coello Coello. An Introduction to Multi-Objective Evolutionary Algorithms and some of Their Potential Uses in Biology, in Tomasz Smolinski, Mariofanna G. Milanova and Aboul-Ella Hassanien (editors), Applications of Computational Intelligence in Biology: Current Trends and Open Problems, pp. 79--102, Springer, Berlin, 2008, ISBN 978-3-540-78533-0 .

Antonio López Jaimes, Carlos A. Coello Coello and Jesús E. Urías Barrientos. Online Objective Reduction to Deal with Many-Objective Problems, in Matthias Ehrgott, Carlos M. Fonseca, Xavier Gandibleux, Jin-Kao Hao and Marc Sevaux (editors), Evolutionary Multi-Criterion Optimization. 5th International Conference, EMO 2009, pp. 423--437, Springer. Lecture Notes in Computer Science Vol. 5467, Nantes, France, April 2009.

A. G. Lopez-Herrera and E. Herrera-Viedma. A Study of the Use of Multi-Objective Evolutionary Algorithms to Learn Boolean Queries: A Comparative Study, Journal of the American Society for Information Science and Technology, Vol. 60, No. 6, pp. 1192--1207, June 2009.

Antonio López Jaimes and Carlos A. Coello Coello. Multi-Objective Evolutionary Algorithms: A Review of the State-of-the-Art and some of their Applications in Chemical Engineering, in Rangaiah Gade Pandu (editor), Multi-Objective Optimization Techniques and Applications in Chemical Engineering, Chapter 3, pp. 61--90, World Scientific, Singapore, 2009, ISBN 978-981-283-651-9 .

Antonio López Jaimes, Luis Vicente Santana Quintero and Carlos A. Coello Coello. Ranking Methods in Many-objective Evolutionary Algorithms, in Raymond Chiong (Editor), Nature-Inspired Algorithms for Optimisation, pp. 413--434, Springer, Berlin, ISBN 978-3-642-00266-3, 2009.

Antonio López Jaimes and Carlos A. Coello Coello. Study of Preference Relations in Many-Objective Optimization, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 611--618, ACM Press, Montreal, Canada, July 8--12, 2009, ISBN 978-1-60558-325-9 .

A. G. Lopez-Herrera, E. Herrera-Viedma and F. Herrera. Applying multi-objective evolutionary algorithms to the automatic learning of extended Boolean quieries in fuzzy ordinal linguistic information retrieval systems, Fuzzy Sets and Systems, Vol. 160, No. 15, pp. 2192--2205, August 1 2009.

Antonio López Jaimes and Carlos A. Coello Coello. Applications of Parallel Platforms and Models in Evolutionary Multi-Objective Optimization, in Andrew Lewis, Sanaz Mostaghim and Marcus Randall (editors), Biologically-Inspired Optimisation Methods, pp. 23--49, Springer, 2009, ISBN 978-3-642-01261-7 .

Manuel López-Ibáñez and Thomas Stützle. An Analysis of Algorithmic Components for Multiobjective Ant Colony Optimization: A Case Study on the Biobjective TSP, in Artifical Evolution, 9th International Conference, Evolution Artificielle, EA 2009, pp. 134--145, Springer. Lecture Notes in Computer Science, Vol. 5975, Strasbourg, France, 2010, ISBN 978-3-642-14155-3.

Manuel López-Ibáñez and Thomas Stützle. Alternative Fitness Assignment Methods for Many-Objective Optimization Problems, in Proceedings of the 12th annual conference on Genetic and Evolutionary Computation (GECCO'2010), pp. 71--78, ACM Press, Portland, Oregon, USA, July 7--11, 2010, ISBN 978-1-4503-0072-8.

Antonio López Jaimes, Hernán Aguirre, Kiyoshi Tanaka and Carlos A. Coello Coello. Objective Space Partitioning Using Conflict Information for Many-Objective Optimization, Robert Schaefer, Carlos Cotta, Joanna Kolodziej and Günter Rudolph (editors), Parallel Problem Solving from Nature--PPSN XI, 11th International Conference, Proceedings, Part I, pp. 657--666, Springer, Lecture Notes in Computer Science Vol. 6238, Kraków, Poland, September 2010. .

Manuel López-Ibáñez and Thomas Stützle. Automatic Configuration of Multi-Objective ACO Algorithms. in Marco Dorigo, Mauro Birattari, Gianni A. Di Caro, René Doursat, Andries P. Engelbrecht, Dario Floreano, Luca Maria Gambardella, Roderich Gross, Erol Sahin, Hiroki Sayama and Thomas Stützle, (editors), Swarm Intelligence. 7th International Conference, ANTS 2010, pp. 95--106, Springer, Lecture Notes in Computer Science Vol. 6234, Brussels, Belgium, September 8-10, 2010.

Manuel López-Ibáñez, Luís Paquete and Thomas Stützle.Exploratory Analysis of Stochastic Local Search Algorithms in Biobjective Optimization, in Thomas Bartz-Beielstein, Marco Chiarandini, Luís Paquete and Mike Preuss (editors), Experimental Methods for the Analysis of Optimization Algorithms, Chapter 9, pp. 209--222, Springer, Heidelberg, 2010.

Javier Lopez, Laura Lanzarini and Armando De Giusti. VarMOPSO: Multi-Objective Particle Swarm Optimization with Variable Population Size, in Angel Kuri-Morales and Guillermo R. Simari (editors), Advances in Artificial Intelligence - IBERAMIA 2010, 12th Ibero-American Conference on AI, pp. 60--69, Springer. Lecture Notes in Artificial Intelligence Vol. 6433, Bahia Blanca, Argentina, November 1-5, 2010, ISBN 978-3-642-16951-9.

Antonio López Jaimes, Carlos A. Coello Coello, Hernán Aguirre and Kiyoshi Tanaka. Adaptive Objective Space Partitioning Using Conflict Information for Many-Objective Optimization, in Ricardo H.C. Takahashi, Kalyanmoy Deb, Elizabeth F. Wanner and Salvatore Grecco (editors), Evolutionary Multi-Criterion Optimization, 6th International Conference, EMO 2011, pp. 151--165, Springer. Lecture Notes in Computer Science Vol. 6576, Ouro Preto, Brazil, April 2011.

Manuel López-Ibáñez and Joshua Knowles and Marco Laumanns. On Sequential Online Archiving of Objective Vectors, in Ricardo H.C. Takahashi, Kalyanmoy Deb, Elizabeth F. Wanner and Salvatore Grecco (editors), Evolutionary Multi-Criterion Optimization, 6th International Conference, EMO 2011, pp. 46--60, Springer. Lecture Notes in Computer Science Vol. 6576, Ouro Preto, Brazil, April 2011.

Antonio López Jaimes, Saúl Zapotecas Martínez and Carlos A. Coello Coello. An Introduction to Multiobjective Optimization Techniques, in António Gaspar-Cunha and José António Covas (editors), Optimization in Polymer Processing, Chapter 3, pp. 29--57, Nova Science Publishers, New York, USA, 2011, ISBN 978-1-61122-818-2.

Antonio López-Jaimes, Alfredo Arias-Montaño and Carlos A. Coello Coello. Preference Incorporation to Solve Many-Objective Airfoil Design Problems, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 1605--1612, IEEE Service Center, New Orleans, Louisiana, USA, 5-8 June, 2011.

Antonio López Jaimes. Techniques to Deal with Many-objective Optimization Problems Using Evolutionary Algorithms, PhD thesis, Department of Computer Science, CINVESTAV-IPN, Mexico City, México, May 30th, 2011 (abstract).

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Manuel Lopez-Ibanez and Thomas Stutzle. An experimental analysis of design choices of multi-objective ant colony optimization algorithms, Swarm Intelligence, Vol. 6, No. 3, pp. 207--232, September 2012.

Antonio López, Carlos A. Coello Coello, Akira Oyama and Kozo Fujii. An Alternative Preference Relation to Deal with Many-Objective Optimization Problems, in Robin C. Purshouse, Peter J. Fleming, Carlos M. Fonseca, Salvatore Greco and Jane Shaw (editors), Evolutionary Multi-Criterion Optimization, 7th International Conference, EMO 2013, pp. 291--306, Springer. Lecture Notes in Computer Science Vol. 7811, Sheffield, UK, March 19-22, 2013.

Antonio López Jaimes, Akira Oyama and Kozo Fujii. Space Trajectory Design: Analysis of a Real-World Many-Objective Optimization Problem, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 2809--2816, IEEE Press, Cancún, México, 20-23 June, 2013, ISBN 978-1-4799-0454-9.

Antonio López Jaimes and Carlos A. Coello Coello. Interactive Approaches Applied to Multiobjective Evolutionary Algorithms, in Michael Doumpos and Evangelos Grigoroudis (editors), Multicriteria Decision Aid and Artificial Intelligence: Links, Theory and Applications, Chapter 8, pp. 191--207, John Wiley & Sons, Chichester, United Kingdom, 2013, ISBN 978-1-119-97639-4.

Antonio López Jaimes, Carlos A. Coello Coello, Hernan Aguirre and Kiyoshi Tanaka. Objective space partitioning using conflict information for solving many-objective problems, Information Sciences, Vol. 268, pp. 305--327, June 1, 2014.

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Antonio López Jaimes and Carlos A. Coello Coello. Including preferences into a multiobjective evolutionary algorithm to deal with many-objective engineering optimization problems, Information Sciences, Vol. 227, pp. 1--20, September 1, 2014.

Roberto E. Lopez-Herrejon, Javier Ferrer, Francisco Chicano, Alexander Egyed and Enrique Alba. Comparative Analysis of Classical Multi-Objective Evolutionary Algorithms and Seeding Strategies for Pairwise Testing of Software Product Lines, in 2014 IEEE Congress on Evolutionary Computation (CEC'2014), pp. 387--396, IEEE Press, Beijing, China, 6-11 July 2014, ISBN 978-1-4799-1488-3.

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Taher Niknam. An efficient hybrid evolutionary algorithm based on PSO and HBMO algorithms for multi-objective Distribution Feeder Reconfiguration, Enegy Conversion and Management, Vol. 50, No. 8, pp. 2074--2082, August 2009.

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Taher Niknam. An efficient multi-objective HBMO algorithm for distribution feeder reconfiguration, Expert Systems with Applications, Vol. 38, No. 3, pp. 2878--2887, March 2011.

Taher Niknam. A new HBMO algorithm for multiobjective daily Volt/Var control in distribution systems considering Distributed Generators, Applied Energy, Vol. 88, No. 3, pp. 778--788, March, 2011.

Taher Niknam, Hamed Zeinoddini Meymand and Hasan Doagou Mojarrad. A Practical Multi-Objective PSO Algorithm for Optimal Operation Management of Distribution Network With Regard to Fuel Cell Power Plants, Renewable Energy, Vol. 36, No. 5, pp. 1529--1544, May 2011.

Taher Niknam, Abdollah Kavousifard, Sajad Tabatabaei and Jamshid Aghaei. Optimal operation management of fuel cell/wind/photovoltaic power sources connected to distribution networks, Journal of Power Sources, Vol. 196, No. 20, pp. 8881--8896, October 15, 2011.

Taher Niknam, Mohammad Rasoul Narimani, Masoud Jabbari and Ahmad Reza Malekpour. A modified shuffle frog leaping algorithm for multi-objective optimal power flow, Energy, Vol. 36, No. 11, pp. 6420--6432, November 2011.

Taher Niknam, Seyed Iman Taheri, Jamshid Aghaei, Sajad Tabatabaei and Majid Nayeripou. A modified honey bee mating optimization algorithm for multiobjective placement of renewable energy resources, Applied Energy, Vol. 88, No. 12, pp. 4817--4830, December 2011.

Taher Niknam, Hamed Zeinoddini Meymand and Hasan Doagou Mojarrad. A novel Multi-objective Fuzzy Adaptive Chaotic PSO algorithm for Optimal Operation Management of distribution network with regard to fuel cell power plants, European Transactions on Electrical Power, Vol. 21, No. 7, pp. 1954--1983, October 2011.

Taher Niknam, Abdollah Kavousi Fard and Alireza Seifi. Distribution feeder reconfiguration considering fuel cell/wind/photovoltaic power plants, Renewable Energy, Vol. 37, No. 1, pp. 213--225, January 2012.

T. Niknam and H. Zeinoddini-Meymand. Impact of Fuel Cell Power Plants on Multi-objective Optimal Operation Management of Distribution Network, Fuel Cells, Vol. 12, No. 3, pp. 487--505, June 2012.

T. Niknam and H. Mojarrad Doagou. Multiobjective economic/emission dispatch by multiobjective theta-particle swarm optimisation, IET Generation Transmission & Distribution, Vol. 6, No. 5, pp. 363--377, May 2012.

Taher Niknam, Mohammad Rasoul Narimani and Rasoul Azizipanah-Abarghooee. A Multi-objective Fuzzy Adaptive PSO Algorithm for Location of Automatic Voltage Regulators in Radial Distribution Networks, International Journal of Control Automation and Systems, Vol. 10, No. 4, pp. 772--777, August 2012.

Taher Niknam, Rasoul Azizipanah-Abarghooee and Mohammad Rasoul Narimani Improving multi-objective genetic algorithms with adaptive design of experiments and online metamodeling, Engineering Applications of Artificial Intelligence, Vol. 25, No. 8, pp. 1577--1588, December 2012.

Taher Niknam, Mohammad Rasoul Narimani and Rasoul Azizipanah-Abarghooee. Project scheduling: A multi-objective evolutionary algorithm that optimizes the effectiveness of human resources and the project makespan , International Journal of Control Automation and Systems, Vol. 10, No. 4, pp. 772--777, August 2012.

Taher Niknam, Rasoul Azizipanah-Abarghooee and Mohammad Rasoul Narimani. An efficient scenario-based stochastic programming framework for multi-objective optimal micro-grid operation, Applied Energy, Vol. 99, pp. 455--470, November 2012.

T. Niknam, M. R. Narimani, J. Aghaei and R. Azizipanah-Abarghooee. Improved particle swarm optimisation for multi-objective optimal power flow considering the cost, loss, emission and voltage stability index, IET Generation Transmission & Distribution, Vol. 6, No. 6, pp. 515--527, June 2012.

Taher Niknam, Faranak Golestaneh and Mokhtar Sha Sadeghi. theta-Multiobjective Teaching-Learning-Based Optimization for Dynamic Economic Emission Dispatch, IEEE Systems Journal, Vol. 6, No. 2, pp. 341--352, June 2012.

Taher Niknam, Rasoul Azizipanah-Abarghooee, Alireza Roosta and Babak Amiri. A new multi-objective reserve constrained combined heat and power dynamic economic emission dispatch, Energy, Vol. 42, No. 1, pp. 530--545, June 2012.

Taher Niknam, Rasoul Azizipanah-Abarghooee, Mohsen Zare and Bahman Bahmani-Firouzi. Reserve Constrained Dynamic Environmental/Economic Dispatch: A New Multiobjective Self-Adaptive Learning Bat Algorithm, IEEE Systems Journal, Vol. 7, No. 4, pp. 763--776, December 2013.

Pantelis G. Nikolakopoulos, Christos I. Papadopoulos and Lambros Kaiktsis. Elastohydrodynamic analysis and Pareto optimization of intact, worn and misaligned journal bearings, Meccanica, Vol. 46, No. 3, pp. 577--588, June 2011.

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Mohammad Hossein Niksokhan, Reza Kerachian and Mohammad Karamouz. A game theoretic approach for trading discharge permits in rivers, Water Science and Technology, Vol. 60, No. 3, pp. 793-804, 2009.

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Harri Niska, Jukka-Pekka Skon, Petteri Packalen, Timo Tokola, Matti Maltamo and Mikko Kolehmainen. Neural Networks for the Prediction of Species-Specific Plot Volumes Using Airborne Laser Scanning and Aerial Photographs, IEEE Transactions on Geoscience and Remote Sensing, Vol. 48, No. 3, pp. 1076--1085, March, 2010.

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Soumyakant Padhee, Niharranjan Nayack, S.K. Panda, P.R. Dhal and S.S. Mahapatra Multi-objective parametric optimization of powder mixed electro-discharge machining using response surface methodology and non-dominated sorting genetic algorithm, Sadhana-Academy Proceedings in Engineering Sciences, Vol. 37, No. 2, pp. 223--240, April 2012.

Nikhil Padhye. Comparison of archiving methods in multi-objective particle swarm optimization (MOPSO): empirical study, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 1755--1756, ACM Press, Montreal, Canada, July 8--12 2009. ISBN 978-1-60558-325-9.

Nikhil Padhye, Juergen Branke and Sanaz Mostaghim. Empirical Comparison of MOPSO Methods - Guide Selection and Diversity Preservation -, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 2516--2523, IEEE Press, Trondheim, Norway, May, 2009.

Nikhil Padhye and Kalyanmoy Deb. Evolutionary Multi-Objective Optimization and Decision Making for Selective Laser Sintering, in Proceedings of the 12th annual conference on Genetic and Evolutionary Computation (GECCO'2010), pp. 1259--1266, ACM Press, Portland, Oregon, USA, July 7--11, 2010. ISBN 978-1-4503-0072-8.

Nikhil Padhye and Kalyanmoy Ded. Multi-objective optimisation and multi-criteria decision making in SLS using evolutionary approaches, Rapid Prototyping Journal, Vol. 17, No. 6, pp. 458--478, 2006.

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Dhanesh Padmanabhan and Rajkumar Vaidyanathan. An Implementation of Pareto Set Pursuing Technique for Concept Vehicle Design, in Kalyanmoy Deb, Arnab Bhattacharya, Nirupam Chakraborti, Partha Chakroborty, Swagatam Das, Joydeep Dutta, Santosh K. Gupta, Ashu Jain, Varun Aggarwal, Jürgen Branke, Sushil J. Louis and Kay Chen Tan (editors), Simulated Evolution and Learning, 8th International Conference, SEAL 2010, pp. 696--705, Springer. Lecture Notes in Computer Science Vol. 6457, Kanpur, India, December 1-4, 2010.

Ben Paechter, R.C. Rankin andrew Cumming and Terence C. Fogarty. Timetabling the Classes of an Entire University with an Evolutionary Algorithm, In A. E. Eiben, M. Schoenauer and H.-P. Schwefel, editors, Parallel Problem Solving From Nature -- PPSN V, Amsterdam, Holland, 1998. Springer-Verlag.

Scott F. Page, Sheng Chen, Chris J. Harris and Neil M. White. Repeated weighted boosting search for discrete or mixed search space and multiple-objective optimisation, Applied Soft Computing, Vol. 12, No. 9, pp. 2740--2755, September 2012.

G. A. Vijayalakshmi Pai and Thierry Michel. Evolutionary Optimization of Constrained k-means Clustered Assets for Diversification in Small Portfolios, IEEE Transactions on Evolutionary Computation, Vol. 13, No. 5, pp. 1030--1053, October 2009.

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K. Palanikumar, B. Latha, V. S. Senthilkumar and R. Karthikeyan. Multiple Performance Optimization in Machining of GFRP Composites by a PCD Tool using Non-dominated Sorting Genetic Algorithm (NSGA-II), Metals and Materials International, Vol. 15, No. 2, pp. 249--258, April, 2009.

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Michael de Paly, Niels Sch¨tze and Andreas Zell. Determining crop-production functions using multi-objective evolutionary algorithms, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 1870--1877, IEEE Press, Barcelona, Spain, July 18--23, 2010.

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Q.-K. Pan, L. Wang and B. Qian. A novel multi-objective particle swarm optimization algorithm for no-wait flow shop scheduling problems, Proceedings of the Institution of Mechanical Engineers Part B-Journal of Engineering Manufacture, Vol. 222, No. 4, pp. 519--539, April, 2008.

Quan-Ke Pan, Ling Wang and Bin Qian. A novel differential evolution algorithm for bi-criteria no-wait flow shop scheduling problems, Computers & Operations research, Vol. 36, No. 8, pp. 2498--2511, August 2009.

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Feng Pan, Guanghui Wang and Yang Liu. A Multi-Objective-Based Non-Stationary UAV Assignment Model for Constraints Handling using PSO, in 2009 ACM SIGEVO Summit on Genetic and Evolutionary Computation (GEC'2009), pp. 459-466, ACM Press, Shanghai, China, June 12-14 2009. ISBN 978-1-60558-326-6.

Indranil Pan and Saptarshi Das. Chaotic multi-objective optimization based design of fractional order (PID mu)-D-lambda controller in AVR system, International Journal of Electrical Power & Energy Systems, Vol. 43, No. 1, pp. 393--407, December, 2012.

Indranil Pan and Saptarshi Das. Frequency domain design of fractional order PID controller for AVR system using chaotic multi-objective optimization, International Journal of Electrical Power & Energy Systems, Vol. 51, pp. 106--118, October 2013.

Y. Panagopoulos, C. Makropoulos and M. Mimikou. Multi-objective optimization for diffuse pollution control at zero cost, Soil Use and Management, Vol. 29, pp. 83--93, March, 2013.

Nadi Panahi and Reza Tavakkoli-Moghaddam. Solving a multi-objective open shop scheduling problem by a novel hybrid ant colony optimization, Expert Systems With Applications, Vol. 38, No. 3, pp. 2817-2822, March, 2011.

Liviu Panait and Sean Luke. Alternative Bloat Control Methods, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part II, Springer-Verlag, Lecture Notes in Computer Science Vol. 3103, pp. 630--641, Seattle, Washington, USA, June 2004.

Sidhartha Panda. Multi-objective evolutionary algorithm for SSSC-based controller design, Electric Power Systems Research, Vol. 79, No. 6, pp. 937--944, June 2009

Sidhartha Panda. Multi-Objective Non-Dominated Shorting Genetic Algorithm-II for Excitation and TCSC-Based Controller Design, Journal of Electrical Engineering, Vol. 60, No. 2, pp. 86-93, 2009.

Sidhartha Panda. Application of non-dominated sorting genetic algorithm-II technique for optimal FACTS-based controller design, Journal of The Franklin Institute-Engineering and Applied Mathematics, Vol. 347, No. 7, pp. 1047-1064, September 2010.

Sidhartha Panda. Multi-objective PID controller tuning for a FACTS-based damping stabilizer using Non-dominated Sorting Genetic Algorithm-II, International Journal of Electrical Power & Energy Systems, Vol. 33, No. 7, pp. 1296--1308, September 2011.

Sidhartha Panda and Narendra Kumar Yegireddy. Automatic generation control of multi-area power system using multi-objective non-dominated sorting genetic algorithm-II, International Journal of Electrical Power & Energy Systems, Vol. 53, pp. 54--63, December 2013.

P. M. Pandey, K. Thrimurthulu and N. V. Reddy. Optimal part deposition orientation in FDM by using a multicriteria genetic algorithm, International Journal of Production Research, Vol. 42, No. 19, pp. 4069--4089, October 1, 2004

V. Ravikumar Pandi, B.K. Panigrahi, W.-C. Hong and R. Sharma. A Multiobjective Bacterial Foraging Algorithm to Solve the Environmental Economic Dispatch Problem, Energy Sources Part B-Economics Planning and Policy, Vol. 9, No. 3, pp. 236--247, July 13, 2014 .

M.A. Panduro, D.H. Covarrubias, C.A. Brizuela and F.R. Marante. A multi-objective approach in the linear antenna array design, AEU-International Journal of Electronics and Communications, Vol. 59, No. 4, pp. 205--212, 2005.

M.A. Panduro, C.A. Brizuela, D. Covarrubias and C. Lopez. A trade-off curve computation for linear antenna arrays using an evolutionary multi-objective approach, Soft Computing, Vol. 10, No. 2, pp. 125--131, January 2006.

Marco A. Panduro, Carlos A. Brizuela and David H. Covarrubias. Design of electronically steerable linear arrays with evolutionary algorithms, Applied Soft Computing, Vol. 8, No. 1, pp. 46--54, January 2008.

Marco A. Panduro and Carlos A. Brizuela. Evolutionary multi-objective design of non-uniform circular phased arrays, COMPEL--The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, Vol. 27, No. 2, pp. 551--566, 2008.

Marco A. Panduro, Carlos A. Brizuela, Jesus Garza, Sergio Hinojosa and Alberto Reyna. A comparison of NSGA-II, DEMO, and EM-MOPSO for the multi-objective design of concentric rings antenna arrays, Journal of Electromagnetic Waves and Applications, Vol. 27, No. 9, pp. 1100--1113, June 1, 2013.

Jose Maria A. Pangilinan and Gerrit K. Janssens. Evolutionary Algorithms for the Multiobjective Shortest Path Problem, in C. Ardil (editor), Proceedings of World Academy of Science Engineering and Technology, Vol 19, pp. 205--210, World Acad SCI, Bangkok, Thailand, January 29-31, 2007, ISBN 978-1-4503-1963-8.

José Maria A. Pangilinan, Gerrit K. Janssens and An Caris. Sensitivity Analysis of a Genetic Algorithm for a Competitive Facility Location Problem, in Innovations and Advanced Techniques in Systems, Computing Sciences and Software Engineering, Springer, pp. 266--271, Dordrecht, Netherlands, 2008, ISBN 978-1-4020-8734-9.

Jose Maria Pangilinan and Gerrit K. Janssens. Pareto-optimality of oblique decision trees from evolutionary algorithms, Journal of Global Optimization, Vol. 51, No. 2, pp. 301--311, October 2011.

José Maria Pangilinan, Gerrit K. Janssens and An Caris. A Multi-Objective Evolutionary Algorithm for Finding Efficient Solutions to a Competitive Facility Location Problem, in Cengiz Kahraman (editors), Computational Intelligence Systems in Industrial Engineering, With Recent Theory and Applications, Chapter 29, pp. 623--650, Springer. Atlantis Computational Intelligence Systems Vol. 6, 2012, ISBN 978-94-91216-76-3.

C. K. Panigrahi, R. Chakrabarti and P. K. Chattopadhyay. Economic Environmental Dispatch by a Mode Technique, Journal of Circuits, Systems, and Computers, Vol. 17, No. 3, pp. 499-512, June, 2008.

B. K. Panigrahi, V. Ravikumar Pandi, Sanjoy Das and Swagatam Das. Multiobjective fuzzy dominance based bacterial foraging algorithm to solve economic emission dispatch problem, Energy, Vol. 35, No. 12, pp. 4661--4670, December 2010.

B. K. Panigrahi, V. Ravikumar Pandi, Renu Sharma, Swagatam Das and Sanjoy Das. Multiobjective bacteria foraging algorithm for electrical load dispatch problem, Energy Conversion and Management, Vol. 52, No. 2, pp. 1334--1342, February 2011.

Andrea Paoli, Farid Melgani and Edoardo Pasolli. Clustering of Hyperspectral Images Based on Multiobjective Particle Swarm Optimization, IEEE Transactions On Geoscience And Remote Sensing, Vol. 47, No. 12, pp. 4175--4188, December, 2009.

Gregor Papa. An evolutionary approach to chip design: An empirical evaluation, Informacije Midem--Journal of Microelectronics electronic components and materials, pp. 142--148, Vol. 33, No. 3, September 2003.

Gregor Papa and Tomasz Garbolino. A new approach to optimization of test pattern generator structure, Informacije Midem--Journal of Microelectronics electronic components and materials, pp. 26--30, Vol. 38, No. 1, March 2008.

Gregor Papa, Tomasz Garbolino and Franc Novak. Deterministic Test Pattern Generator Design, in Mario Giacobini et al. (editors), Applications of Evolutionary Computing. EvoWorkshops 2008: EvoCOMNET, EvoFIN, EvoHOT, EvoIASP, EvoMUSART, EvoNUM, EvoSTOC and EvoTransLog, pp. 204-213, Springer, Lecture Notes in Computer Science Vol. 4974, Naples, Italy, March 2008.

Vissarion Papadopoulos and Nikos D. Lagaros. Vulnerability-based robust optimization of imperfect shell structures, Structural Safety, Vol. 31, No. 6, pp. 475-482, 2009.

M. Papadrakakis, N.D. Lagaros and V. Plevris. Multi-objective optimization of skeletal structures under static and seismic loading, Engineering Optimization, Vol. 34, No. 6, pp. 645--669, December 2002.

C. Papagianni, K. Papadopoulos, C. Pappas, N. D. Tselikas, D. T. Kaklamani and I. S. Venieris. Communication Network Design Using Particle Swarm Optimization, in International Multiconference on Computer Science and Information Technology (IMCSIT'2008), pp. 915--920, IEEE Computer Society, Wisla, Poland, October, 2008.

Apostolos Papanikolaou, George Zaraphonitis, Evangelos Boulougouris, Uwe Langbecker, Sven Matho and Pierre Sames. Multi-objective optimization of oil tanker design, Journal of Marine Science and Technology, Vol. 15, No. 4, pp. 359--373, December, 2010.

Melih Papila, Raphael T. Haftka, Toshikazu Nishida and Mark Sheplak. Piezoresistive Microphone Design Pareto Optimization: Tradeoff Between Sensitivity and Noise Floor, Journal of Microelectromechanical Systems, Vol. 15, No. 6, pp. 1632--1643, December 2006.

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Gisele L. Pappa, Alex A. Freitas and Celso A.A. Kaestner. A Multiobjective Genetic Algorithm for Attribute Selection, in Proceedings of the 4th International Conference on Recent Advances in Soft Computing (RASC-2002), pp. 116--121, Nottingham Trent University, Nottingham, UK, December 2002.

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Gisele L. Pappa, Alex A. Freitas and Celso A.A. Kaestner. Multi-Objective Algorithms for Attribute Selection in Data Mining, in Carlos A. Coello Coello and Gary B. Lamont (editors), Applications of Multi-Objective Evolutionary Algorithms, pp. 603--626, World Scientific, Singapore, 2004.

Gisele L. Pappa and Alex A. Freitas. Evolving rule induction algorithms with multi-objective grammar-based genetic programming, Knowledge and Information Systems, Vol. 19, No. 3, pp. 283--309, June 2009.

Luís F. Paquete and Carlos M. Fonseca. A Study of Examination Timetabling with Multiobjective Evolutionary Algorithms, in Jorge Pinho de Sousa (Editor), Proceedings of the 4th Metaheuristics International Conference (MIC'2001), pp. 149--153, Porto, Portugal, Program Operational Ciencia, Tecnologia, Inovaçao do Quadro Comunitário de Apoio III de Fundaçao para a Ciencia e Tecnologia, July 2001

Luis Paquete and Thomas Stützle. A Two-Phase Local Search for the Biobjective Traveling Salesman Problem, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 479--493, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.

Luis Paquete, Marco Chiarandini and Thomas Stützle. Pareto Local Optimum Sets in the Biobjective Traveling Salesman Problem: An Experimental Study, in Xavier Gandibleux, Marc Sevaux, Kenneth Sörensen and Vincent T'kindt (editors), Metaheuristics for Multiobjective Optimisation, pp. 177--199, Springer. Lecture Notes in Economics and Mathematical Systems Vol. 535, Berlin, 2004.

Luis Paquete and Thomas Stützle. A study of stochastic local search algorithms for the biobjective QAP with correlated flow matrices, European Journal of Operational Research, Vol. 169, No. 3, pp. 943--959, March 16, 2006.

Luís Paquete, Thomas Stützle and Manuel López-Ibáñez. Using Experimental Design to Analyze Stochastic Local Search Algorithms for Multiobjective Problems, in Springer US (editor), Metaheuristics. Progress in Complex Systems Optimization, pp. 325-344, Springer, Operations Research/Computer Science Interfaces Series, Vol. 39, 2007. ISBN 978-0-387-71919-1.

Luís Paquete, Tommaso Schiavinotto and Thomas Stützle. On local optima in multiobjective combinatorial optimization problems, Annals of Operations Research, Vol. 156, No. 1, pp. 83-97, December 2007.

Luís Paquete and Thomas Stützle. Stochastic Local Search Algorithms for Multiobjective Combinatorial Optimization: A Review, in Teofilo F. Gonzalez (editor), Handbook of Approximation Algorithms and Metaheuristics, Chapter 29, pp. 29-1--29-15, Chapman & Hall/CRC, 2007, ISBN 978-1-58488-550-4.

Luís Paquete and Thomas Stützle. Clusters of Non-dominated Solutions in Multiobjective Combinatorial Optimization: An Experimental Analysis, in Vincent Barichard, Matthias Ehrgott, Xavier Gandibleux and Vincent T'Kindt (editors), Multiobjective Programming and Goal Programming. Theoretical Results and Practical Applications, pp. 69-77, Springer, Lecture Notes in Economics and Mathematical Systems, Vol. 618, 2009. ISBN 978-3-540-85645-0.

Luís Paquete and Thomas Stützle. Design and analysis of stochastic local search for the multiobjective traveling salesman problem, Computers & Operations Research, Vol. 36, No. 9, pp. 2619-2631, September 2009.

Luís Paquete and Thomas Stützle. On the Performance of Local Search for the Biobjective Traveling Salesman Problem. in Carlos A. Coello Coello, Clarisse Dhaenens and Laetitia Jourdan, (editors), Advances in Multi-Objective Nature Inspired Computing, chapter 7, pp. 143--165, Springer, Studies in Computational Intelligence, Vol. 272, Berlin, Germany, 2010, ISBN 978-3-642-11217-1.

Sumeet Parashar. Development of Multi-Objective Genetic Algorithm Concurrent Subspace Optimization (MOGACSSO) Method with Robustness, PhD thesis, Department of Mechanical and Aerospace Engineering, State University of New York at Buffalo, November 2nd, 2006 (abstract).

Manuel Parente, Paulo Cortez and António Gomes Correia. Combining Data Mining and Evolutionary Computation for Multi-criteria Optimization of Earthworks, in António Gaspar-Cunha, Carlos Henggeler Antunes and Carlos Coello Coello (editors), Evolutionary Multi-Criterion Optimization, 8th International Conference, EMO 2015, pp. 514--528, Springer. Lecture Notes in Computer Science Vol. 9019, Guimarães, Portugal, March 29 - April 1, 2015.

F. Pargar and M. Zandieh. Bi-criteria SDST hybrid flow shop scheduling with learning effect of setup times: water flow-like algorithm approach, International Journal of Production Research, Vol. 50, No. 10, pp. 2609--2623, 2012.

Seong-Jin Park. A Data Allocation Methodology Using the Multiple Aspects Petri Net and the Pareto Genetic Algorithm in Distributed Databases. PhD thesis, Korea University, 1997.

Kwang-Wook Park and Donald E. Grierson. Pareto-Optimal Conceptual Design of the Structural Layout of Buildings Using a Multicriteria Genetic Algorithm. Computer-Aided Civil and Infrastructure Engineering, 14(3):163-170, May 1999.

Sangbong Park, Dongkyung Nam and Cheol Hoon Park. Design of a Neural Controller Using Multiobjective Optimization for Nonminimum Phase Systems, in 1999 IEEE International Fuzzy Systems Conference Proceedings, Vol. 1, pp. 533--537, IEEE, 1999.

CH. Park and MM. Aral. Multi-objective optimization of pumping rates and well placement in coastal aquifers, Journal of Hydrology, Vol. 290, No. 1--2, pp. 80--99, May 10, 2004.

H. Park, N-S Kwak and J. Lee. A method of multiobjective optimization using a genetic algorithm and an artificial immune system, Proceedings of the Institution of Mechanical Engineers Part C-Journal of Mechanical Engineering Science, Vol. 223, No. 5, pp. 1243--1252, May 2009.

Tong Kyu Park, Han Gyu Joo, Chang Hyo Kim and Hyun Chul Lee. Multiobjective Loading Pattern Optimization by Simulated Annealing Employing Discontinuous Penalty Function and Screening Technique, Nuclear Science and Engineering, Vol. 162, No. 2, pp. 134-147, June 2009.

So-Youn Park and Ju-Jang Lee. Improvement of a Multi-Objective Differential Evolution using Clustering Algorithm, in IEEE International Symposium on Industrial Electronics 2009 (ISIE'2009), pp. 1213--1217, IEEE Computer Society, Seoul, South Korea, July, 2009.

Chung Hae Park, Abdelghani Saouab, Joel Breard, Woo Suck Han, Alain Vautrin and Woo Il Lee. An integrated optimisation for the weight, the structural performance and the cost of composite structures, Composites Science and Technology, Vol. 69, No. 7-8, pp. 1101--1107, June, 2009.

Yong Kuk Park and Jung-Min Yang. Optimization of mixed casting processes considering discrete ingot sizes, Journal of Mechanical Science and Technology, Vol. 23, No. 7, pp. 1899--1910, July, 2009.

So-Youn Park and Ju-Jang Lee. Improvement of A Multi-Objective Differential Evolution using Clustering Algorithm, in IEEE International Symposium on Industrial Electronics (ISIE 2009), pp. 1213--1217, IEEE Press, Seoul, Korea, Julty 5-8, 2009.

In-Won Park, Bum-Joo Lee, Ye-Hoon Kim, Ji-Hyeong Han and Jong-Hwan Kim. Multi-objective quantum-inspired evolutionary algorithm-based optimal control of two-link inverted pendulum, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 3382--3388, IEEE Press, Barcelona, Spain, July 18--23, 2010.

Hyungmin Park, Ji-Hyeong Han and Jong-Hwan Kim. Swarm intelligence-based sensor network deployment strategy, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 4210--4215, IEEE Press, Barcelona, Spain, July 18--23, 2010.

Taejin Park and Kwang Ryel Ryu. Accumulative Sampling for Noisy Evolutionary Multi-Objective Optimization, in 2011 Genetic and Evolutionary Computation Conference (GECCO'2011), pp. 793--800, ACM Press, Dublin, Ireland, July 12-16, 2011.

Cheong Hoon Park, Jin Gul Joo and Joong Hoon Kim. Integrated washland optimization model for flood mitigation using multi-objective genetic algorithm, Journal of Hydro-Environment Research, Vol. 6, No. 2, pp. 119--126, May 2012.

In-Won Park, Ki-Baek Lee and Jong-Hwan Kim. Multi-objective evolutionary algorithm-based optimal posture control of humanoid robots, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 238--244, IEEE Press, Brisbane, Australia, June 10-15, 2012.

You-Jin Park, Rong Pan, Connie M. Borror, Douglas C. Montgomery and Gyu-Bong Lee. Simultaneous Improvement of Energy Efficiency and Product Quality in PCB Lamination Process, International Journal of Precision Engineering and Manufacturing--Green Technology, Vol. 1, No. 3, pp. 247--256, July 2014.

Han-Young Park, Akhil Datta-Gupta and Michael J. King. Handling conflicting multiple objectives using Pareto-based evolutionary algorithm during history matching of reservoir performanc, Journal of Petroleum Science and Engineering, Vol. 125, pp. 48--66, January 2015.

Geoffrey T. Parks. Multiobjective PWR Reload Core Optimization Using Genetic Algorithms. In Proceedings of the International Conference on Mathematics and Computations, Reactor Physics and Environmental Analyses, pages 615-624, 1995.

Geoffrey T. Parks. Multiobjective Pressurized Water Reactor Reload Core Design by Nondominated Genetic Algorithm Search. Nuclear Science and Engineering, 124(1):178-187, 1996.

Geoffrey T. Parks. Multiobjective Pressurised Water Reactor Reload Core Design using a Genetic Algorithm. In George D. Smith, Nigel C. Steele and Rudolf F. Albrecht, editors, Artificial Neural Nets and Genetic Algorithms, pages 53-57, Norwich, UK, 1997. Springer-Verlag.

Geoffrey T. Parks and I. Miller. Selective Breeding in a Multiobjective Genetic Algorithm. In A. E. Eiben, M. Schoenauer and H.-P. Schwefel, editors, Parallel Problem Solving From Nature -- PPSN V, pages 250-259, Amsterdam, Holland, 1998. Springer-Verlag.

G.T. Parks and A. Suppapitnarm. Multiobjective optimizationof PWR reload core designs using simulated annealing, Mathematics & Computation, Reactor Physics and Environmental Analysis in Nuclear Applications, Vol. 2, Madrid, Spain, pp. 1435--1444, 1999.

G.T. Parks, J. Li, M.-E. Balazs and I. Miller. An empirical investigation of elitism in multiobjective genetic algorithms, Foundations of Computing and Decision Sciences, Vol. 26, No. 1, pp. 51--74, 2001.

I. C. Parmee and G. Purchase. The development of a directed genetic search technique for heavily constrained design spaces, In I. C. Parmee, editor, Adaptive Computing in Engineering Design and Control-'94, pages 97-102, Plymouth, UK, 1994. University of Plymouth, University of Plymouth.

Ian C. Parmee and Andrew H. Watson. Preliminary Airframe Design Using Co-Evolutionary Multiobjective Genetic Algorithms, In W. Banzhaf, J. Daida, A. E. Eiben, M. H. Garzon, V. Honavar, M. Jakiela and R. E. Smith, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'99), volume 2, pages 1657-1665, San Francisco, California, July 1999. Morgan Kaufmann.

Ian C. Parmee, Dragan Cvetković andrew H. Watson and Christopher R. Bonham. Multiobjective Satisfaction within an Interactive Evolutionary Design Environment. Evolutionary Computation, 8(2):197-222, Summer 2000.

I.C. Parmee. Poor-Definition, Uncertainty and Human Factors--Satisfying Multiple Objectives in Real-World Decision-Making Environments. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 67-81. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001.

Ian C. Parmee. Evolutionary and Adaptive Computing in Engineering Design, Springer, London, 2001, ISBN 1-85233-029-5.

Ian Parmee, Dragan Cvetkovic, Christopher Bonham and Ian Packham. Introducing prototype interactive evolutionary systems for ill-defined, multi-objective design environments, Advances in Engineering Software, Vol. 32, No. 6, pp. 429--441, June 2001.

I.C. Parmee and J.A.R. Abraham. Supporting Implicit Learning via the Visualisation of COGA Multi-objective Data, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 395--402, Portland, Oregon, USA, June 2004.

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Manojkumar Ramteke and Santosh K. Gupta. Biomimetic Adaptation of the Evolutionary Algorithm, NSGA-II-aJG, Using the Biogenetic Law of Embryology for Intelligent Optimization, Industrial & Engineering Chemistry Research, Vol. 48, No. 17, pp. 8054--8067, September 2, 2009.

Manojkumar Ramteke and Santosh K. Gupta. Kinetic Modeling and Reactor Simulation and Optimization of Industrially Important Polymerization Processes: a Perspective, International Journal of Chemical Reactor Engineering, Vol. 9, No. R1, 2011.

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Mehran Rashidi and Farzan Rashidi. Multi-Objective Optimal Design of Switch Reluctance Motors Using Adaptive Genetic Algorithm, in Bijaya Ketan Panigrahi, Swagatam Das, Ponnuthurai Nagaratnam Suganthan and Subhransu Sekhar Dash (editors), Swarm, Evolutionary, and Memetic Computing, First International Conference on Swarm, Evolutionary and Memetic Computing, SEMCCO 2010, pp. 591--598, Springer-Verlag. Lecture Notes in Computer Science Vol. 6466, Chennai, India, December 16-18, 2010.

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Abdul Rauf, Sajid Anwar, Naveed Kazim and Arshad Ali Shahid. Evolutionary Based Automated Coverage Analysis for GUI Testing, in Sanjay Ranka, Arunava Banerjee, Kanad Kishore Biswas, Sumeet Dua, Prabhat Mishra, Rajat Moona, Sheung-Hung Poon and Cho-Li Wang (editors), Contemporary Computing, Third International Conference, IC3 2010, pp. 456--466, Springer, Communications in Computer and Information Science, Berlin, 2010, ISBN 3-642-14833-6.

Marion S. Rauner, Walter J. Gutjahr, Kurt Heidenberger, Joachim Wagner and Joseph Pasia. Dynamic Policy Modeling for Chronic Diseases: Metaheuristic-Based Identification of Pareto-Optimal Screening Strategies, Operations Research, Vol. 58, No. 5, pp. 1269--1286, September - October, 2010.

Sajad Najafi Ravadanegh, Arash Vahidnia and Hojat Hatami. On Optimal Design and Expansion of Electrical Power Distribution Systems, Journal of Circuits Systems and Computers, Vol. 19, No. 1, pp. 45--58, February, 2010.

Romain Raveaux, Barbu Eugen, Hervé Locteau, Sébastien Adam, Pierre Héroux and Eric Trupin. A Graph Classification Approach Using a Multi-objective Genetic Algorithm Application to Symbol Recognition, in Francisco Escolano and Mario Vento (editors), Graph-Based Representations in Pattern Recognition, 6th IAPR-TC-15 International Workshop, GbRPR 2007, pp. 361--370, Springer. Lecture Notes in Computer Science Vol. 4538, Alicante, Spain, June 11-13, 2007.

G. Ravi, Santosh K. Gupta and M.B. Ray. Multiobjective Optimization of Cyclone Separators Using Genetic Algorithm, Industrial and Engineering Chemistry Research, Vol. 39, No. 11, pp. 4272--4286, November 2000.

G. Ravi, Santosh K. Gupta, S. Viswanathan and M.B. Ray. Optimization of Venturi Scrubbers Using Genetic Algorithm, Industrial and Engineering Chemistry Research, Vol. 41, No. 12, pp. 2988--3002, June 2002.

D. Ravindran, AN Haq, S. J. Selvakuar and R. Sivaraman. Flow shop scheduling with multiple objective of minimizing makespan and total flow time, International Journal of Advanced Manufacturing Technology, Vol. 25, No. 9-10, pp. 1007--1012, May 2005.

Tapabrata Ray, Amitay Isaacs and Warren Smith. A Memetic Algorithm for Dynamic Multiobjective Optimization, in Chi-Keong Goh, Yew-Soon Ong, and Kay Chen Tan (editors), Multi-Objective Memetic Algorithms, chapter 16, pp. 353--367, Springer, Studies in Computational Intelligence, Vol. 171, Berlin, Germany, 2009. ISBN 978-3-540-88050-9.

Tapabrata Ray, Tai Kang and Seow Kian Chye. An Evolutionary Algorithm for Constrained Optimization. In Darrell Whitley, David Goldberg, Erick Cantú-Paz, Lee Spector, Ian Parmee and Hans-Georg Beyer, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2000), pages 771-777, San Francisco, California, 2000. Morgan Kaufmann.

Tapabrata Ray, Tai Kang and Seow Kian Chye. Multiobjective Design Optimization by an Evolutionary Algorithm. Engineering Optimization, Vol. 33, No. 3, pp. 399--424, 2001.

Tapabrata Ray and Kang Tai. An Evolutionary Algorithm with a Multilevel Pairing Strategy for Single and Multiobjective Optimization, Foundations of Computing and Decision Sciences, Vol. 26, pp. 75--98, 2001.

Tapabrata Ray and K.M. Liew. A Swarm Metaphor for Multiobjective Design Optimization, Engineering Optimization, Vol. 34, No. 2, pp. 141--153, March 2002.

Tapabrata Ray. Constrained Robust Optimal Design using a Multiobjective Evolutionary Algorithm, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 419--424, IEEE Service Center, Piscataway, New Jersey, May 2002.

Tapabrata Ray, Poan Choy Ling and Tai Kang. A New Fitness Assignment and Parent Selection Strategy Within an Evolutionary Algorithm for Constrained Optimization Problems, in Lipo Wang, Kay Chen Tan, Takeshi Furuhashi, Jong-Hwan Kim and Xin Yao (editors), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02), pp. 31--35, Vol. 1, Nanyang Technical University, Orchid Country Club, Singapore, November 2002.

Ajay K. Ray, P.P. Oh and G.P. Rangaiah. Simulation and multiobjective optimization of an industrial hydrogen plant based on refinery off-gas, Industrial and Engineering Chemistry Research, Vol. 41, No. 9, pp. 2248--2261, May 2002.

Tapabrata Ray. Applications of Multi-Objective Evolutionary Algorithms in Engineering Design, in Carlos A. Coello Coello and Gary B. Lamont (editors), Applications of Multi-Objective Evolutionary Algorithms, pp. 29--52, World Scientific, Singapore, 2004.

Madhumita B. Ray. Applications of a Multi-Objective Genetic Algorithm in Chemical and Environmental Engineering, in Carlos A. Coello Coello and Gary B. Lamont (editors), Applications of Multi-Objective Evolutionary Algorithms, pp. 317--339, World Scientific, Singapore, 2004.

T. Ray and H.M. Tsai. Swarm algorithm for single- and multiobjective airfoil design optimization, AIAA Journal, Vol. 42, No. 2, pp. 366--373, February, 2004.

T. Ray and K.W. Won. An evolutionary algorithm for constrained bi-objective optimization using radial slots, in Knowledge-Based Intelligent Information and Engineering Systems, Part 4, Proceedings, Springer, pp. 49--56, Lecture Notes in Artificial Intelligence Vol. 3684, 2005.

Tapabrata Ray and Warren Smith. A surrogate assisted parallel multiobjective evolutionary algorithm for robust engineering design, Engineering Optimization, Vol. 38, No. 8, pp. 997--1011, December 2006.

Tapabrata Ray and Ruhul Sarker. Multiobjective Evolutionary Approach to the Solution of Gas Lift Optimization Problems, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 10951--10957, IEEE, Vancouver, BC, Canada, July 2006.

Tapabrata Ray and Ruhul Sarker. Optimum Oil Production Planning using an Evolutionary Approach, in Keshav P. Dahal, Kay Chen Tan and Peter I Cowling (editors), Evolutionary Scheduling, pp. 273--292, Springer, Studies in Computational Intelligence (SCI), Berlin, 2007, ISBN 3-540-48582-1.

Tapabrata Ray and Ruhul Sarker. EA for Solving Combined Machine Layout and Job Assignment Problems, Journal of Industrial and Management Optimization, Vol. 4, No. 3, pp. 631--646, August 2008.

Tapabrata Ray, Amitay Isaacs and Warren Smith. Surrogate Assisted Evolutionary Algorithm for Multi-Objective Optimization, in Rangaiah Gade Pandu (editor), Multi-Objective Optimization Techniques and Applications in Chemical Engineering, chapter 5, pp. 131--152, World Scientific, Singapore, 2009, ISBN 978-981-283-651-9.

Subhasis Ray and David A. Lowther. Multi-Objective Optimization Applied to the Matching of a Specified Torque-Speed Curve for an Internal Permanent Magnet Motor, IEEE Transactions on Magnetics, Vol. 45, No. 3, pp. 1518-1521, March 2009.

Tapabrata Ray, Md Asafuddoula and Amitay Isaacs. A Steady State Decomposition Based Quantum Genetic Algorithm for Many Objective Optimization, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 2817--2824, IEEE Press, Cancún, México, 20-23 June, 2013, ISBN 978-1-4799-0454-9.

Wasim Raza and Kwang-Yong Kim. Multiobjective optimization of a wire-wrapped LMR fuel assembly, Nuclear Technology, Vol. 162, No. 1, pp. 45--52, April 2008.

Wasim Raza and Kwang-Yong Kim. Shape Optimization of 19-Pin Wire-Wrapped Fuel Assembly of LMR Using Multiobjective Evolutionary Algorithm, Nuclear Science and Engineering, Vol. 161, No. 2, pp. 245--254, February 2009.

Sara Modarres Razavi, Yuan Di, Fredrik Gunnarsson and Johan Moe. Optimizing the Tradeoff between Signaling and Reconfiguration: A Novel Bi-criteria Solution Approach for Revising Tracking Area Design, in 2009 IEEE Vehicular Technology Conference, pp. 3095--3099, IEEE Press, Barcelona, Spain, April 26-29, 2009, ISBN 978-1-4244-2516-7.

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Brian J. Reardon. Fuzzy Logic vs. Niched Pareto Multiobjective Genetic Algorithm Optimization: Part II. A Simplified Born-Mayer Problem, Technical Report LA-UR-97-3676, Los Alamos National Laboratory, Los Alamos, New Mexico, September 1997.

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BJ Reardon. Fuzzy logic versus niched Pareto multiobjective genetic algorithm optimization, Modelling And Simulation In Materials Science And Engineering, Vol. 6, No. 6, pp. 717-734, November, 1998.

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Brian J. Reardon. Optimizing the Hot Isostatic Pressing Process, Materials and Manufacturing Processes, Vol. 18, No. 3, pp. 493--508, 2003.

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Gustavo Recio and Kalyanmoy Deb. Solving Clustering Problems Using Bi-Objective Evolutionary Optimisation and Knee Finding Algorithms, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 2848--2855, IEEE Press, Cancún, México, 20-23 June, 2013, ISBN 978-1-4799-0454-9.

William J. Reckhouse, Jonathan E. Fielsdend and Richard M. Everson. Variable interactions and exploring parameter space in an expensive optimisation problem: Optimising Short Term Conflict Alert, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 4608--4615, IEEE Press, Barcelona, Spain, July 18--23, 2010.

A. Raji Reddy and Kalyanmoy Deb. Identification of Multiple Gene Subsets Using Multi-objective Evolutionary Algorithms, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 623--637, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.

Manne Janga Reddy. Swarm Intelligence and Evolutionary Computation or Single and Multiobjective Optimization in Water Resource Systems, PhD thesis, Department of Civil Engineering, Indian Institute of Science, Bangalore, India, September 2006 (abstract).

M. Janga Reddy and D. Nagesh Kumar. Optimal reservoir operation using multi-objective evolutionary algorithm, Water Resources Management, Vol. 20, No. 6, pp. 861-878, December, 2006.

M. Janga Reddy and D. Nagesh Kumar, An efficient multi-objective optimization algorithm based on swarm intelligence for engineering design, Engineering Optimization, Vol. 39, No. 1, pp. 49--68, January 2007.

M. Janga Reddy and D. Nagesh Kumar. Multi-objective particle swarm optimization for generating optimal trade-offs in reservoir operation, Hydrological Processes, Vol. 21, No. 21, pp. 2897--2909, October 15, 2007.

M. Janga Reddy and D. Nagesh Kumar. Multiobjective differential evolution with application to reservoir system optimization, Journal of Computing in Civil Engineering, Vol. 21, No. 2, pp. 136-146, March-April, 2007.

M. Janga Reddy and D. Nagesh Kumar. Envolving strategies for crop planning and operation of irrigation reservoir system using multi-objective differential evolution, Irrigation Science, Vol. 26, No. 2, pp. 177-190, January, 2008.

M. Janga Reddy and D. Nagesh Kumar. Performance evaluation of elitist-mutated multi-objective particle swarm optimization for integrated water resources management, Journal of Hydroinformatics, Vol. 11, No. 1, pp. 79-88, January 2009.

S. Surender Reddy, M. Sailaja Kumari and M. Sydulu. Congestion Management in Deregulated Power System by Optmal Choice and Allocation of FACTS Controllers Using Multi-Objective Genetic Algorithm, Journal of Electrical Engineering & Technology, Vol. 4, No. 4, pp. 467-475, December, 2009.

S. Surender Reddy, A. R. Abhyankar and P. R. Bijwe. Reactive power price clearing using multi-objective optimization, Energy, Vol. 36, No. 5, pp. 3579--3589, May, 2011.

A. Srinivasa Reddy and K. Vaisakh. Economic Emission Load Dispatch by Modified Shuffled Frog Leaping Algorithm, International Journal of Computer Applications, Vol. 31, No. 11, pp. 58--65, October 2011.

Patrick M. Reed, Barbara S. Minsker and David E. Goldberg.Designing a New Elitist Nondominated Sorted Genetic Algorithm for a Multiobjective Long Term Groundwater Monitoring Application, Proceedings of the 2001 Genetic and Evolutionary Computation Conference. Late-Breaking Papers, pp. 352--358, San Francisco, California, July 2001.

Patrick M. Reed, Barbara S. Minsker and David E. Goldberg.A multiobjective approach to cost effective long-term groundwater monitoring using an elitist nondominated sorted genetic algorithm with historical data, Journal of Hydroinformatics, Vol. 3, No. 2, pp. 71--89, April 2001.

Patrick M. Reed, Barbara S. Minsker and David E. Goldberg.The Practitioner's Role in Competent Search and Optimization Using Genetic Algorithms, in Don Phelps and Gerald Sehlke (editors), Bridging the Gap: Meeting the World's Water and Environmental Resources Challenges. Proceedings of the World Water and Environmental Resources Congress, American Society of Civil Engineers. ISBN 0-7844-0569-7, Washington, DC, 2001.

Patrick M. Reed, Barbara S. Minsker and David E. Goldberg.Why Optimize Long Term Groundwater Monitoring Design? A Multiobjective Case Study of Hill Air Force Base, in Don Phelps and Gerald Sehlke (editors), Bridging the Gap: Meeting the World's Water and Environmental Resources Challenges. Proceedings of the World Water and Environmental Resources Congress, American Society of Civil Engineers. ISBN 0-7844-0569-7, Washington, DC, 2001.

Patrick M. Reed, Barbara S. Minsker and David E. Goldberg.Designing a New Elitist Nondominated Sorted Genetic Algorithm for a Multiobjective Long Term Groundwater Monitoring Application, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 1454, Morgan Kaufmann Publishers, San Francisco, California, July 2001.

Patrick M. Reed and Barbara S. Minsker. Discovery and Negotiation using Multiobjective Genetic Algorithms: A Case Study in Groundwater Monitoring Design, in R.A. Falconer, B. Lin, E.L. Harris and C.A.M.E. Wilson (editors), Hydroinformatics 2002, Volume Two: Software Tools and Management Systems, Proceedings of the 5th International Conference on Hydroinformatics, pp. 988--993, IWA Publishing, London 2002.

Patrick Michael Reed. Striking the Balance: Long-Term Groundwater Monitoring Design for Multiple Conflicting Objectives, PhD Thesis, Graduate College of the University of Illinois at Urbana-Champaign, Urbana, Illinois, 2002 (abstract) .

Patrick Reed, Barbara S. Minsker and David E. Goldberg, Simplifying multiobjective optimization: An automated design methodology for the nondominated sorted genetic algorithm-II, Water Resources Research, Vol. 39, No. 7, pp. TNN 2.1--2.5, July 2003.

Patrick Reed and Venkat Devireddy. Groundwater Monitoring Design: A Case Study Combining Epsilon Dominance Archiving and Automatic Parameterization for the NSGA-II, in Carlos A. Coello Coello and Gary B. Lamont (editors), Applications of Multi-Objective Evolutionary Algorithms, pp. 79--100, World Scientific, Singapore, 2004.

Patrick Reed, Joshua B. Kollat and V.K. Devireddy. Using interactive archives in evolutionary multiobjective optimization: A case study for long-term groundwater monitoring design, Environmental Modelling & Software, Vol. 22, No. 5, pp. 683--692, May 2007.

Patrick M. Reed, Joshua B. Kollat, Matthew P. Ferringer and Timothy G. Thompson. Parallel Evolutionary Multi-Objective Optimization on Large, Heterogeneous Clusters: An Applications Perespective, Journal of Aerospace Computing Information And Communication, Vol. 5, No. 11, pp. 460-478, 2008.

P.M. Reed and J.B. Kollat. Save now, pay later? Multi-period many-objective groundwater monitoring design given systematic model errors and uncertainty, Advances in Water Resources, Vol. 35, pp. 55--68, January 2012.

P. M. Reed, D. Hadka, J. D. Herman, J. R. Kasprzyk and J. B. Kollat. Evolutionary multiobjective optimization in water resources: The past, present, and future, Advances in Water Resources, Vol. 51, pp. 438--456, January 2013.

Edgar Reehuis and Thomas Bäck. Mixed-Integer Evolution Strategy Using Multiobjective Selection Applied to Warehouse Design Optimization, in Proceedings of the 12th annual conference on Genetic and Evolutionary Computation (GECCO'2010), pp. 1187--1194, ACM Press, Portland, Oregon, USA, July 7--11, 2010. ISBN 978-1-4503-0072-8. .

Jérémi Régnier. Conception de systèmes hétérogènes en Génie Électrique para Optimisation évolutionnaire multicritère, PhD thesis, Institut Nationale Polytechnique de Toulouse, France, December 2003 (In French) (abstract in English).

J. Regnier, B. Sareni and X. Roboam. System optimization by multiobjective genetic algorithms and analysis of the coupling between variables, constraints and objectives, COMPEL-The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, Vol. 24, No. 3, pp. 805--820, 2005.

Habib ur Rehman, Imran Zaka, Muhammad Naeem, Syed Ismail Shah and Jamil Ahmad. Minimum Bit Error Rate Multiuser Detection for OFDM-SDMA Using Particle Swarm Optimization, in De-Shuang Huang, Laurent Heutte and Marco Loog (editors), Advanced Intelligent Computing Theories and Applications With Aspects of Theoretical and Methodological Issues, Third International Conference on Intelligent Computing, ICIC 2007, pp. 1247--1256, Springer. Lecture Notes in Computer Science Vol. 4681, Qingdao, China, August 21-24, 2007.

Dirk Reichelt and Lars Mönch. Multiobjective Scheduling of Jobs with Incompatible Families on Parallel Batch Machines, in Jens Gottlieb and Günther R. Raidl (editors), Evolutionary Computation in Combinatorial Optimization, 6th European Conference, EvoCOP 2006, pp. 209--221, Springer. Lecture Notes in Computer Science Vol. 3906, Budapest, Hungary, April 2006.

Brahim Rekiek, Fabrice Pellichero, Pierre De Lit, Emanuel Falkenauer and Alain Delchambre. A Resource Planner for Hybrid Assembly Lines. In Proceedings of the 15th International Conference on CAD/CAM Robotics & Factories of the Future CAR & FOF'99, volume 1, pages MW6-18-MW6-23, August 1999.

Brahim Rekiek. Multiple-Objectives Genetic Algorithm. In Annie S. Wu, editor, Proceedings of the 1999 Genetic and Evolutionary Computation Conference. Workshop Program, page 401, Orlando, Florida, July 1999.

Brahim Rekiek, Pierre De Lit, Fabrice Pellichero, Thomas L'Eglise, Emanuel Falkenauer and Alain Delchambre. Dealing With User's Preferences in Hybrid Assembly Lines Design. In Proceedings of the MCPL'2000 Conference, 2000.

Brahim Rekiek. Assembly Line Design (multiple objective grouping genetic algorithm and the balancing of mixed-model hybrid assembly line). PhD thesis, Free University of Brussels, CAD/CAM Department, Brussels, Belgium, December 2000.

Brahim Rekiek, Pierre de Lit, Fabrice Pellichero, Thomas L'Eglise, Patrick Fouda, Emanuel Falkenauer and Alan Delchambre. A multiple objective grouping genetic algorithm for assembly line design, Journal of Intelligent Manufacturing, Vol. 12, Nos. 5--6, pp. 467--485, 2001.

B. Rekiek, P. De Lit and A. Delchambre. Hybrid Assembly Line Design and User's Preferences, International Journal of Production Research, Vol. 40, No. 5, pp. 1095--1111, March 2002.

Brahim Rekiek and Alain Delchambre. Assembly Line Design. The Balancing of Mixed-Model Hybrid Assembly Lines with Genetic Algorithms, Springer, 2006, ISBN 1-84628-112-1.

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Talitha Rubio, Tiantian Zhang, Michael Georgiopoulos and Assem Kaylani. Multi-Objective Evolutionary Optimization of Exemplar-Based Classifiers: A PNN Test Case, in 2011 International Joint Conference on Neural Networks (IJCNN 2011), pp. 1722--1731, IEEE Press, San Jose, California, USA, July 31-August 5, 2011, ISBN 978-1-4244-9636-5.

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Álvaro Rubio-Largo and Miguel A. Vega-Rodríguez. A Multiobjective Approach Based on the Law of Gravity and Mass Interactions for Optimizing Networks, in Martin Middendorf and Christian Blum (editors), Evolutionary Computation in Combinatorial Optimization, 13th European Conference, EvoCOP 2013, pp. 13--24, Springer. Lecture Notes in Computer Science Vol. 7832, Vienna, Austria, April 3-5, 2013.

Álvaro Rubio-Largo, Qingfu Zhang and Miguel A. Vega-Rodríguez. MOEA/D for Traffic Grooming in WDM Optical Networks, in 2013 Genetic and Evolutionary Computation Conference (GECCO'2013), pp. 663--670, ACM Press, New York, USA, July 6-10, 2013, ISBN 978-1-4503-1963-8.

Álvaro Rubio-Largo and Miguel A. Vega-Rodríguez. Routing Low-Speed Traffic Requests onto High-Speed Lightpaths by Using a Multiobjective Firefly Algorithm, in Anna I. Esparcia-Alcázar et al. (editors), Applications of Evolutionary Computation, 16th European Conference, EvoApplications 2013, pp. 12--21, Springer. Lecture Notes in Computer Science Vol. 7835, Vienna, Austria, April 3-5, 2013.

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Alvaro Rubio-Largo and Miguel A. Vega-Rodriguez. Applying MOEAs to solve the static Routing and Wavelength Assignment problem in optical WDM networks, Engineering Applications of Artificial Intelligence, Vol. 26, No. 5-6, pp. 1602--1619, May-June 2013.

Alvaro Rubio-Largo, Miguel A. Vega-Rodriguez and David L. Gonzalez-Alvarez. Designing a fine-grained parallel differential evolution with Pareto tournaments for solving an optical networking problem, Concurrency and Computation-Practice & Experience, Vol. 26, No. 11, pp. 1908--1934, August 10, 2014.

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Deepak Sharma, Abhay Kumar, Kalyanmoy Deb and Karthik Sindhya. Hybridization of SBX Based NSGA-II and Sequential Quadratic Programming for Solving Multi-objective Optimization Problems, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 3003--3010, IEEE Press, Singapore, September 2007.

Deepak Sharma, Kalyanmoy Deb and N. N. Kishore. A Domain-Specific Crossover and a Helper Objective for Generating Minimum Weight Compliant Mechanisms, in 2008 Genetic and Evolutionary Computation Conference (GECCO'2008), pp. 1723--1724, ACM Press, Atlanta, USA, July 2008, ISBN 978-1-60558-131-6.

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Asish Kumar Sharma, Chandramoulli Kuishreshtha, Keemin Sohn and Kee-Sun Sohn. Systematic Control of Experimental Inconsistensy in Combinatorial Materials Science, Journal of Combinatorial Chemistry, Vol. 11, No. 1, pp. 131--137, January-February 2009.

Asish Kumar Sharma, Chandramouli Kulshreshtha and Kee-Sun Sohn. Discovery of New Green Phosphors and Minimization of Experimental Incosistency Using a Multi-Objective Genetic Algorithm-Assisted Combinatorial Method, Advanced Functional Materials, Vol. 19, No. 11, pp. 1705--1712, June 9, 2009.

Asish Kumar Sharma and Kee-Sun Sohn. Search for phosphors for use in displays and lighting using heuristics-based combinatorial materials science, Journal Of The Society For Information Display, Vol. 17, No. 12, pp. 1073--1080, December, 2009.

Sushant Sharma, Satish V. Ukkusuri and Tom V. Mathew. Pareto Optimal Multiobjective Optimization for Robust Transportation Network Design Problem, Transportation Research Record, Vol. 2090, pp. 95--104, 2009.

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Deepak Sharma and Pierre Collet. An Archived-Based Stochastic Ranking Evolutionary Algorithm (ASREA) for Multi-Objective Optimization, in Proceedings of the 12th annual conference on Genetic and Evolutionary Computation (GECCO'2010), pp. 479--486, ACM Press, Portland, Oregon, USA, July 7--11, 2010, ISBN 978-1-4503-0072-8.

Deepak Sharma and Pierre Collet. GPGPU-Compatible Archive Based Stochastic Ranking Evolutionary Algorithm (G-ASREA) for Multi-Objective Optimization. in Robert Schaefer, Carlos Cotta, Joanna Kolodziej and Günter Rudolph (editors), Parallel Problem Solving from Nature--PPSN XI, 11th International Conference, Proceedings, Part II, pp. 111--120, Springer, Lecture Notes in Computer Science Vol. 6239, Kraków, Poland, September, 2010.

Deepak Sharma. On the Flexible Applied Boundary and Support Conditions of Compliant Mechanisms Using Customized Evolutionary Algorithm, in Kalyanmoy Deb, Arnab Bhattacharya, Nirupam Chakraborti, Partha Chakroborty, Swagatam Das, Joydeep Dutta, Santosh K. Gupta, Ashu Jain, Varun Aggarwal, Jürgen Branke, Sushil J. Louis and Kay Chen Tan (editors), Simulated Evolution and Learning, 8th International Conference, SEAL 2010, pp. 105--114, Springer. Lecture Notes in Computer Science Vol. 6457, Kanpur, India, December 1-4, 2010.

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Nitin Sharma and K. R. Anupama. On the use of NSGA-II for multi-objective resource allocation in MIMO-OFDMA systems, Wireless Networks, Vol. 17, No. 5, pp. 1191--1201, July 2011 .

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Sushant Sharma and Tom V. Mathew. Multiobjective network design for emission and travel-time trade-off for a sustainable large urban transportation network, Environment and Planning B-Planning & Design, Vol. 38, No. 3, pp. 520--538, May, 2011.

S. Sharma, G. P. Rangaiah and K. S. Cheah. Multi-objective optimization using MS Excel with an application to design of a falling-film evaporator system, Food and Bioproducts Processing, Vol. 90, No. C2, pp. 123--134, April 2012.

Deepak Sharma and Prem Soren. Infeasibility Driven Approach for Bi-objective Evolutionary Optimization, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 868--875, IEEE Press, Cancún, México, 20-23 June, 2013, ISBN 978-1-4799-0454-9.

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Shivom Sharma and Gade Pandu Rangaiah. Multi-Objective Optimization Applications in Chemical Engineering, in Gade Pandu Rangaiah and Adrián Bonilla-Petriciolet (editors), Multi-Objective Optimization in Chemical Engineering: Developments and Applications, Chapter 3, pp. 35--102, John Wiley & Sons, May, 2013, ISBN 978-1-118-34166-7.

Shivom Sharma, Seyed Reza Nabavi and Gade Pandu Rangaiah. Performance Comparison of Jumping Gene Adaptations of the Elitist Non-dominated Sorting Genetic Algorithm, in Gade Pandu Rangaiah and Adrián Bonilla-Petriciolet (editors), Multi-Objective Optimization in Chemical Engineering: Developments and Applications, Chapter 4, pp. 105--127, John Wiley & Sons, May, 2013, ISBN 978-1-118-34166-7.

Shivom Sharma and Gade Pandu Rangaiah. Improved Constraint Handling Technique for Multi-Objective Optimization with Application to Two Fermentation Processes, in Gade Pandu Rangaiah and Adrián Bonilla-Petriciolet (editors), Multi-Objective Optimization in Chemical Engineering: Developments and Applications, Chapter 5, pp. 129--156, John Wiley & Sons, May, 2013, ISBN 978-1-118-34166-7.

Shivom Sharma, Zi Chao Lim and Gade Pandu Rangaiah. Process Design for Economic, Environmental and Safety Objectives with an Application to the Cumene Process, in Gade Pandu Rangaiah and Adrián Bonilla-Petriciolet (editors), Multi-Objective Optimization in Chemical Engineering: Developments and Applications, Chapter 16, pp. 449--477, John Wiley & Sons, May, 2013, ISBN 978-1-118-34166-7.

Deepak Sharma and Pierre Collet. Implementation Techniques for Massively Parallel Multi-objective Optimization, in Shigeyoshi Tsutsui and Pierre Collet (editors), Massively Parallel Evolutionary Computation on GPGPUs, pp. 267--286, Springer, 2013, ISBN 978-3-642-37958-1.

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Min Shi and Haifeng Wu. Pareto cooperative coevolutionary genetic algorithm using reference sharing collaboration, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 867--874, ACM Press, Montreal, Canada, July 8--12 2009. ISBN 978-1-60558-325-9 .

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Min Shi and Boye Annfelt Hoverstad. PEEC: Evolving Efficient Connections Using Pareto Optimality, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 1578--1584, IEEE Press, Trondheim, Norway, May, 2009.

Yu Shi and Rolf D. Reitz. Assessment of Multi-Objective Genetic Algorithms with Different Niching Strategies and Regression Methods for Engine Optimization and Design, in Proceedings of the 2009 Spring Technical Conference of the ASME Internal Combustion Engine Division, pp. 487--496, ASME Press, Milwaukee, Wisconsin, USA, May 3-6, 2009, ISBN 978-0-7918-4340-6.

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Chuan Shi, Cha Zhong, Zhenyu Yan, Yanan Cai and Bin Wu. A Multi-Objective Approach for Community Detection in Complex Network, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 403--410, IEEE Press, Barcelona, Spain, July 18--23, 2010.

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Yu Shi, Hai-Wen Ge and Rolf D. Reitz. Computational Optimization of Internal Combustion Engines, Springer, London, UK, 2011, ISBN 978-0-85729-618-4.

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Hemant Kumar Singh, Tapabrata Ray and Ruhul Sarker. Optimum Oil Production Planning Using Infeasibility Driven Evolutionary Algorithm, Evolutionary Computation, Vol. 21, No. 1, pp. 65--82, Spring 2013.

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K. C. Tan, T. H. Lee, E. F. Khor and R. Sathikannan. Incremented multi-objective evolutionary design automation of robust tracking thumbprint performances in QFT. In Proceedings of the International Conference on Evolutionary Computation for Computer, Communication, Control and Power, pages 137-142, Chennai, India, 2000.

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K.C. Tan, T.H. Lee and E.F. Khor. Automatic Design of Multivariable QFT Control System via Evolutionary Computation, in Stefano Cagnoni et al. (eds.), Proceedings of Real World Applications of Evolutionary Computing. EvoWorkshops 2000: EvoIASP, EvoSCONDI, EvoTel, EvoSTIM, EvoRob and EvoFlight, pp. 178--194, Springer. Lecture Notes in Computer Science Vol. 1803, Edinburgh, Scotland, April 2000.

K.C. Tan, T.H. Lee and E.F. Khor. Incrementing Multi-Objective Evolutionary Algorithms: Performance Studies and Comparisons. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 111-125. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001.

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K.C. Tan, E.F. Khor, C.M. Heng and T.H. Lee.Exploratory Multi-Objective Evolutionary Algorithm: Performance Study and Comparisons, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 647--654, Morgan Kaufmann Publishers, San Francisco, California, July 2001.

K.C. Tan, T.H. Lee and E.F. Khor, Evolutionary Algorithms with Dynamic Population Size and Local Exploration for Multiobjective Optimization, IEEE Transactions on Evolutionary Computation, Vol. 5, No. 6, pp. 565--588, December 2001.

K.C. Tan, Tong H. Lee, D. Khoo and E.F. Khor, A Multiobjective Evolutionary Algorithm Toolbox for Computer-Aided Multiobjective Optimization, IEEE Transactions on Systems, Man and Cybernetics---Part B: Cybernetics, Vol. 31, No. 4, pp. 537--556, August 2001.

K.C. Tan, T.H. Lee and E.F. Khor. Automatic design of multi-variable quantitative feedback theory control systems via evolutionary computation,Proceedings of the Institution of Mechanical Engineers Part I---Journal of Systems and Control Engineering, Vol. 215, No. I3, pp. 245--259, 2001.

K.C. Tan, K. Sengupta, T.H. Lee and R. Sathikannan. Autonomous Registration of Disparate Spatial Data via an Evolutionary Algorithm Toolbox, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 31--36, IEEE Service Center, Piscataway, New Jersey, May 2002.

K.C. Tan, T.H. Lee and E.F. Khor. Evolutionary Algorithms for Multi-Objective Optimization: Performance Assessments and Comparisons, Artificial Intelligence Review, Vol. 17, No. 4, pp. 253--290, June 2002.

K.C. Tan, E.F. Khor, T.H. Lee and Y.J. Yang. A tabu-based exploratory evolutionary algorithm for multiobjective optimization, Artificial Intelligence Review, Vol. 19, No. 3, pp. 231--260, May 2003.

K.C. Tan, E.F. Khor, T.H. Lee and R. Sathikannan. An evolutionary algorithm with advanced goal and priority specification for multi-objective optimization, Journal of Artificial Intelligence Research, Vol. 18, pp. 183--215, 2003.

K.C. Tan, T.H. Lee, Y.H. Chew and L.H. Lee. A Hybrid Multiobjective Evolutionary Algorithm For Solving Truck and Trailer Vehicle Routing Problems, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 3, pp. 2134--2141, IEEE Press, Canberra, Australia, December 2003.

K.C. Tan, Y.J. Yang and T.H. Lee. A Distributed Cooperative Coevolutionary Algorithm for Multiobjective Optimization, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 4, pp. 2513--2520, IEEE Press, Canberra, Australia, December 2003.

K.C. Tan, Y.J. Yang, C.K. Goh and T.H. Lee. Enhanced Distribution and Exploration for Multiobjective Evolutionary Algorithms, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 4, pp. 2521--2528, IEEE Press, Canberra, Australia, December 2003.

K.C. Tan, Y.H. Chew, T.H. Lee and Y.J. Yang. A Cooperative Coevolutionary Algorithm for Multiobjective Optimization, in Proceedings of the 2003 IEEE International Conference on Systems, Man and Cybernetics, Vol. 1, pp. 390--395, IEEE Press, 2003.

K.C. Tan and Y. Li. Automating Control System Design via a Multiobjective Evolutionary Algorithm, in Carlos A. Coello Coello and Gary B. Lamont (editors), Applications of Multi-Objective Evolutionary Algorithms, pp. 155--175, World Scientific, Singapore, 2004.

K.C. Tan, E.F. Khor and T.H. Lee. Multiobjective Evolutionary Algorithms and Applications, Springer-Verlag, London, 2005, ISBN 1-85233-836-9 .

Guang-Xing Tan and Zong-Yuan Mao. Study on Pareto front of multi-objective optimization using immune algorithm, in Daniel S. Yeung, Zhi-Qiang Liu, Xizhao Wang and Hong Yan (editors), Proceedings of 2005 International Conference on Machine Learning and Cybernetics, 2005., pp. 2923-2928, Springer. Lecture Notes in Computer Science, Vol. 3930, Guangzhou, China, August 2005.

K.C. Tan, Y.H. Chew and L.H. Lee. A hybrid multi-objective evolutionary algorithm for solving truck and trailer vehicle routing problems, European Journal of Operational Research, Vol. 172, No. 3, pp. 855--885, August 1st, 2006.

K.C. Tan, C.K. Goh, Y.J. Yang and T.H. Lee. Evolving better population distribution and exploration in evolutionary multi-objective optimization, European Journal of Operational Research, Vol. 171, No. 2, pp. 463--495, June 1, 2006.

K.C. Tan, Y.H. Chew and L.H. Lee. A hybrid multiobjective evolutionary algorithm for solving vehicle routing problem with time windows, Computational Optimization and Applications, Vol. 34, No. 1, pp. 115--151, May 2006.

K.C. Tan, Y.J. Yang and C.K. Goh. A Distributed Cooperative Coevolutionary Algorithm for Multiobjective Optimization, IEEE Transactions on Evolutionary Computation, Vol. 10, No. 5, pp. 527--549, October 2006.

K.C. Tan, Q. Yu and J. H. Ang. A dual-objective evolutionary algorithm for rules extraction in data mining, Computational Optimization and Applications, Vol. 34, No. 2, pp. 273--294, June 2006.

K.C. Tan, R. Sathikannan, W.W. Tan and A.P. Lo. Evolutionary design and implementation of a hard disk drive servo control system, Soft Computing, Vol. 11, No. 2, pp. 131--139, January 2007.

C.H. Tan, C. K. Goh, K. C. Tan and A. Tay. A Cooperative Coevolutionary Algorithm for Multiobjective Particle Swarm Optimization, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 3180--3186, IEEE Press, Singapore, September 2007.

Tse Guan Tan, Hui Keng Lau and Jason Teo. Cooperative Versus Competitive Coevolution for Pareto Multiobjective Optimization, in Kang Li, Minrui Fei, George W. Irwin, and Shiwei Ma (editors), Bio-Inspired Computational Intelligence and Applications. International Conference on Life System Modeling and Simulation (LSMS 2007), pp. 63--72, Springer, Lecture Notes in Computer Science Vol. 4688, Shanghai, China, September 14-17, 2007. ISBN 978-3-540-74768-0.

Tse Guan Tan, Hui Keng Lau and Jason Teo. Cooperative coevolution for Pareto multiobjective optimization: an empirical study using SPEA2, in TENCON 2007 - 2007 IEEE Region 10 Conference, Vols 1-3, pp. 1429--1432, IEEE, Taipei, Taiwan, 30 October - 2 November, 2007, ISBN 978-1-4244-1271-6.

K.C. Tan, C.K. Goh, A.A. Mamun and E.Z. Ei. An evolutionary artificial immune system for multi-objective optimization, European Journal of Operational Research, Vol. 187, No. 2, pp. 371--392, June 1, 2008.

Tse Guan Tan and Jason Teo. Evolving Opposition-Based Pareto Solutions: Multiobjective Optimization Using Competitive Coevolution, in H. R. Tizhoosh and M. Ventresca (editors), Oppositional Concepts in Computational Intelligence, pp. 161-206, Springer, Studies in Computational Intelligence Vol. 155, 2008.

Kay Chen Tan and Chi Keong Goh. Handling Uncertainties in Evolutionary Multi-Objective Optimization, in Jacek M. Zurada, Gary G. Yen and Jun Wang (editors), Computational Intelligence: Research Frontiers. IEEE World Congress on Computational Intelligence (WCCI'2008), pp. 262--292, Springer, Lecture Notes in Computer Science Vol. 5050, Hong Kong, China, June 1-6 2008. ISBN 978-3-540-68858-7.

Guan-zheng Tan, Dai-ming Zhou, Bin Jiang and Mamady I. Dioubiate. Elitism-based immune genetic algorithm and its application to optimization of complex multi-modal functions, Journal of Central South University Technology, Vol. 15, No. 6, pp. 845-852, December 2008.

Tse Guan Tan, Jason Teo and Hui Keng Lau. Augmenting SPEA2 with K-Random Competitive Coevolution for Enhanced Evolutionary Multi-objective Optimization, in H. B. Zaman, T. M. T Sembok, K. VanRijsbergen, L. Zadeh, P. Buza, T. Shih and M. N. Taib (editors), International Symposium of Information Technology 2008, Vols 1-4, Proceedings: Cognitive Informatics: Bridging Natural and Artificial Knowledge, pp. 1579--1584, IEEE, Kuala Lumpur, Malaysia, August 26-29, 2008, ISBN 978-1-4244-2327-9.

K. C. Tan, S. C. Chiam, A. A. Mamun and C. K. Goh. Balancing Exploration and Exploitation with Adaptive Variation for Evolutionary Multi-Objective Opimization, European Journal of Operational Research, Vol. 197, No. 2, pp. 701--713, September 2009.

Kay Chen Tan, Ko Poh Phang and Ying Jie Yang. Feed Optimization for Fluidized Catalytic Cracking using a Multi-Objective Evolutionary Algorithm, in Rangaiah Gade Pandu (editor), Multi-Objective Optimization Techniques and Applications in Chemical Engineering, chapter 9, pp. 277--300, World Scientific, Singapore, 2009, ISBN 978-981-283-651-9.

Dekun Tan, Wenhai Luo and Qing Liu. Multi-Objective Particle Swarm Optimization Algorithm for Engineering Constrained Optimization Problems, in IEEE International Conference on Granular Computing, 2009 (GRC'09), pp. 523--528, IEEE Computer Society, Nanchang, China, August, 2009.

Tse Guan Tan and Jason Teo. Improving the Performance of Multiobjective Evolutionary Optimization Algorithms Using Coevolutionary Learning, in Raymond Chiong (Editor), Nature-Inspired Algorithms for Optimisation, pp. 457--487, Springer, Berlin, ISBN 978-3-642-00266-3, 2009.

Yan-Yan Tan, Yong-Chang Jiao, Hong Li and Xin-Kuan Wang. A modification to MOEA/D-DE for multiobjective optimization problems with complicated Pareto sets, Information Sciences, Vol. 213, pp. 14--28, December 5, 2012.

Kar Bin Tan, Jason Teo, Kim On Chin and Patricia Anthony. An Evolutionary Multi-objective Optimization Approach to Computer Go Controller Synthesis, in Patricia Anthony, Mitsuru Ishizuka and Dickson Lukose (editors), PRICAI 2012: Trends in Artificial Intelligence, 12th Pacific Rim International Conference on Artificial Intelligence, pp. 801--806, Springer. Lecture Notes in Artificial Intelligence Vol. 7458, Kuching, Malaysia, September 3-7, 2012.

Yan-Yan Tan, Yong-Chang Jiao, Hong Li and Xin-Kuan Wang. MOEA/D-SQA: a multi-objective memetic algorithm based on decomposition, Engineering Optimization, Vol. 4, No. 9, pp. 1095--1115, 2012.

Choo Jun Tan, Chee Peng Lim and Yu-N Cheah. A Modified micro Genetic Algorithm for undertaking Multi-Objective Optimization Problems, Journal of Intelligent & Fuzzy Systems, Vol. 24, No. 3, pp. 483--495, 2013.

Choo Jun Tan, Chee Peng Lim and Yu-N Cheah. A multi-objective evolutionary algorithm-based ensemble optimizer for feature selection and classification with neural network models, Neurocomputing, Vol. 125, pp. 217--228, February 11, 2014.

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K. S. Tang, K. F. Man and D. W. Gu. Structured Genetic Algorithm for Robust Control Systems Design. IEEE Transactions on Industrial Electronics, 43(5):575-582, October 1996.

K. S. Tang, K. F. Man and K. T. Ko. Wireless LAN Design using Hierarchical Genetic Algorithm. In Thomas Bäck, editor, Proceedings of the Seventh International Conference on Genetic Algorithms, pages 629-635, San Mateo, California, July 1997. Michigan State University, Morgan Kaufmann Publishers.

K.S. Tang, K.F. Man and G. Chen. Solar Plant Control using Genetic Fuzzy PID Controller, in 26th Annual Conference of the IEEE Indutrial Electronics Society, Vol. 3, pp. 1686--1691, IEEE, 2000.

Kit-Sang Tang, Kim-Fung Man and S. Kwong. Wireless Communication Network Design in IC Factory, IEEE Transactions on Industrial Electronics, Vol. 48, No. 2, pp. 452--459, April 2001.

K.S. Tang, Kim-Fung Man, Guanrong Chen and Sam Kwong. An Optimal Fuzzy PID Controller, IEEE Transactions on Industrial Electronics, Vol. 48, No. 4, pp. 757--765, August 2001.

Kit-Sang Tang, King-Tim Ko and Erick W.M. Wong. Optimal File Placement in VOD System Using Genetic Algorithm, IEEE Transactions on Industrial Electronics, Vol. 48, No. 5, pp. 891--897, October 2001.

Y. Tang, P. Reed and T. Wagener. How effective and efficient are multiobjective evolutionary algorithms at hydrologic model calibration?, Hydrology and Earth System Sciences, Vol. 10, No. 2, pp. 289--307, 2006.

Y. Tang, P.M. Reed and J.B. Kollat. Parallelization strategies for rapid and robust evolutionary multiobjective optimization in water resources applications, Advances in Water Resources, Vol. 30, No. 3, pp. 335--353, March 2007.

Min Tang, Zhangcan Huang and Guangxi Chen. The Construction of Dynamic Multi-objective Optimization Test Functions, in Lishan Kang, Yong Liu, and Sanyou Zeng, (editors), Advances in Computation and Intelligence. Second International Symposium (ISICA'2007), pp. 72--79, Springer, Lecture Notes in Computer Sciences, Vol. 4683, Wuhan, China, September 21-23, 2007.

Yong Tang. Advancing Hydrologic Model Evaluation and Identification using Multiobjective Calibration, Sensitivity Analysis, and Parallel Computation, PhD thesis, The Pennsylvania State University, USA, May 2007 (abstract).

Ke Tang, Zai Wang, Xianbin Cao and Jun Zhang. A Multi-Objective Evolutionary Approach to Aircraft Landing Scheduling Problems, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 3651--3657, IEEE Service Center, Hong Kong, June 2008.

Wallace K.S. Tang, Sam T.W. Kwong and Kim F. Man. A Jumping Genes Paradigm: Theory, Verification and Applications, IEEE Circuits and Systems Magazine, Vol. 8, No. 4, pp. 18--36, 2008.

Jiangjun Tang, Sameer Alam, Hussein Abbass and Chris Lokan. Modelling and Evolutionary Multi-objective Evaluation of Interdependencies and Work Processes in Airport Operations, in 2009 ACM SIGEVO Summit on Genetic and Evolutionary Computation (GEC'2009), pp. 977-980, ACM Press, Shanghai, China, June 12-14 2009. ISBN 978-1-60558-326-6.

Z. Tang, J. Périaux, G. Bugeda and E. Oñate. Lift Maximization with Uncertainties for the Optimization of High Lift Devices using Multi-Criterion Evolutionary Algorithms, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 2324--2331, IEEE Press, Trondheim, Norway, May, 2009.

Qinghu Tang, Ying Bin Lau, Shuangquan Hu, Wenjin Yan, Yanhui Yang and Tao Chen. Response surface methodology using Gaussian processes: Towards optimizing the trans-stilbene epoxidation over Co2+-NaX catalysts, Chemical Engineering Journal, Vol. 156, No. 2, pp. 423--431, January 15, 2010.

Z. Tang, J. Periaux, G. Bugeda and E. Onate. Lift maximization with uncertainties for the optimization of high-lift devices, International Journal For Numerical Methods In Fluids, Vol. 64, No. 2, pp. 119-135, September 20, 2010.

Huajin Tang, Vui Ann Shim, Kay Chen Tan and Jun Yong Chia. Restricted Boltzmann machine based algorithm for multi-objective optimization, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 3958--3965, IEEE Press, Barcelona, Spain, July 18--23, 2010.

L.C.M. Tang, A.Y.T. Leung and C.W.Y. Wong. Entropic Risk Analysis by a High Level Decision Support System for Construction SMEs, Journal of Computing in Civil Engineering, Vol. 24, No. 1, pp. 81--94, January-February, 2010.

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Jiang Feng Wang and Jacques Periaux. Multi-Point Optimization using GAs and Nash/Stackelberg Games for High Lift Multi-airfoil Design in Aerodynamics, Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), Vol. 1, IEEE Service Center, Piscataway, New Jersey, pp. 552--559, May 2001.

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Yuping Wang, Dalian Liu and Yiu-Ming Cheung. Preference Bi-objective Evolutionary Algorithm for Constrained Optimization, in Yue Hao et al. (editors), Computational Intelligence and Security. International Conference, CIS 2005, pp. 184--191, Springer, Lecture Notes in Artificial Intelligence Vol. 3801, Xi'an, China, December 2005.

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D.D. Wang and A.K. Tieu and Giovanni D'Alessio. Computational Intelligence-Based Process Optimization for Tandem Cold Rolling, Materials and Manufacturing Processes, Vol. 20, No. 3, pp. 479--496, 2005.

Fang Wang and Yuhui Qiu. Multimodal Function Optimizing by a New Hybrid Nonlinear Simplex Search and Particle Swarm Algorithm, in João Gama, Rui Camacho, Pavel Brazdil, Alípio Jorge and Luís Torgo (editors), 16th European Conference on Machine Learning (ECML 2005), pp. 759--766, Springer. Lecture Notes in Computer Science Vol. 3720, Porto, Portugal, October 3-7 2005.

Yuping Wang and Chuangyin Dang. Improving Multiobjective Evolutionary Algorithm by Adaptive Fitness and Space Division. in Lipo Wang, Ke Chen and Yew-Soon Ong, (editors), Advances in Natural Computation. First International Conference, ICNC 2005, pp. 392--398, Springer, Lecture Notes in Computer Science, Vol. 3612, Changsha, China, 2005.

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H. Wang, D. Lin and M.Q. Li. A competitive Genetic Algorithm for resource-constrained project scheduling problem, in Proceedings of 2005 International Conference on Machine Learning and Cybernetics, pp. 2945--2949, IEEE Press, Canton, China, August 18-21, 2005, ISBN 0-7803-9091-1.

Lingfeng Wang and Chanan Singh. Multi-Objective Stochastic Power Dispatch Through A Modified Particle Swarm Optimization Algorithm, in 2006 Swarm Intelligence Symposium (SIS'06), pp. 128--135, IEEE Press, Indianapolis, Indiana, USA, May 2006.

X.L. Wang and M. Mahfouf. ACSAMO: An Adaptive Multiobjective Optimization Algorithm using the Clonal Selection Principle, in 2nd European Symposium on Nature-Inspired Smart Information Systems, Puerto de la Cruz, Tenerife, Spain, November 29--December 1, 2006.

Yao Wang and Mark Wineberg. Estimation of evolvability genetic algorithm and dynamic environments, Genetic Programming and Evolvable Machines, Vol. 7, No. 4, pp. 355--382, December 2006.

Hanli Wang, Sam Kwong, Yaochu Jin and Chi-Ho Tsang. Agent Based Multi-Objective Approach to Generating Interpretable Fuzzy Systems, in Yaochu Jin (Editor), Multi-Objective Machine Learning, pp. 339--364, Springer. Studies in Computational Intelligence, Volume 16, Berlin, 2006.

JianWei Wang, Jianming Zhang and Xiaopeng Wei. Evolutionary Multi-objective Optimization Algorithm with Preference for Mechanical Design, in Daniel S. Yeung, Zhi-Qiang Liu, Xizhao Wang and Hong Yan (editors), Advances in Machine Learning and Cybernetics, 4th International Conference, ICMLC 2005, pp. 497-506, Springer, Lecture Notes in Computer Science Vol. 3930, Guangzhou, China, August 2006.

Nianfeng Wang and Kang Tai. A Structural Optimization Problem Formulation for Design of Compliant Gripper Using. Genetic Algorithm, in C. A. Motasoares, J. A. C. Martins, H. C. Rodrigues, Jorge A. C. Ambrósio, C. A. B. Pina, C. M. Motasoares, E. B. R. Pereira and J. Folgado (editors), III European Conference on Computational Mechanics. Solids, Structures and Coupled Problems in Engineering: Book of Abstracts, pp. 456, Springer, Lisbon, Portugal, June 5-8 2006. ISBN 978-1-4020-4994-1.

Lingjuan Wang, Chengjian Wei and Shuai Huang. Computing Nash equilibria with particle swarm optimization algorithm, Dynamics of Continuous Discrete and Impulsive System-Series B-Applications & Algorithms, Vol. 13, pp. 26--30, December, 2006.

Gaoping Wang and Yongji Wang. Game model based co-evolutionary algorithm and its application for multiobjective optimization problems, in Y. M. Cheung, Y. Wang and H. Lium (editors), 2006 International Conference on Computational Intelligence and Security, Pts 1 and 2 Proceedings, pp. 274--277, Springer-Verlag Berlin, Guangzhou, China, November 03-06, 2006, ISBN 978-3-540-74376-7.

Yong Wang, Zixing Cai, Guanqi Guo and Yuren Zhou. Multiobjective optimization and hybrid evolutionary algorithm to solve constrained optimization problems, IEEE Transactions on Systems, Man and Cybernetics Part B--Cybernetics, Vol. 37, No. 3, pp. 560--575, June 2007.

Lingfeng Wang and Chanan Singh. Environmental/economic power dispatch using a fuzzified multi-objective particle swarm optimization algorithm, Electric Power Systems Research, Vol. 77, No. 12, pp. 1654--1664, October 2007.

Jun Wang, Ning Jing, Jun Li and Huizhong Chen. A Multi-Objective Imaging Scheduling Approach for Earth Observing Satellites, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO'2007), pp. 2211--2218, Vol. 2, ACM Press, London, UK, July 2007.

Lingfeng Wang and Chanan Singh. PSO-Based Multi-Criteria Optimum Design of A Grid-Connected Hybrid Power System With Multiple Renewable Sources of Energy, in Proceedings of the 2007 IEEE Swarm Intelligence Symposium (SIS 2007), IEEE Press, Honolulu, Hawaii, USA, April 2007.

Shuyan Wang, Changwen Zheng and Yuxin Wang. A Time-Fuel Optimal Algorithm for Spacecraft Formation Reconfiguration, 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 994--999, IEEE Press, Singapore, September 2007.

N. Wang and K. Tai. A Hybrid Genetic Algorithm for Multiobjective Structural Optimization, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 2948--2955, IEEE Press, Singapore, September 2007.

Gaoping Wang and JianJun Wu. A New Fuzzy Dominance GA Applied to Solve Many-Objective Optimization Problem, in ICICIC '07: Proceedings of the Second International Conference on Innovative Computing, Information and Control, pp. 617, IEEE Computer Society, Washington, D.C., USA, 2007, ISBN 0-7695-2882-1.

N. Wang and K. Tai. Handling Objectives as Adaptive Constraints for Multiobjective Structural Optimization, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 3922--3929, IEEE Press, Singapore, September 2007.

Xingwei Wang, Pengcheng Liu and Min Huang. Genetic Algorithm and Pareto Optimum Based QoS Multicast Routing Scheme in NGI, in Yuping Wang, Yiu-ming Cheung and Hailin Liu (editors), Computational Intelligence and Security, International Conference, CIS 2006, pp. 115--122, Springer. Lecture Notes in Computer Science 4456, Guangzhou, China, November 2007.

Jinfei Wang, Sanyou Zeng, Zhenhua Li and Ping Zhang. A guo-tao-algorithm-based non-dominated sorting approach to multiobjective optimization, in S. Zeng, Y. Liu, Q. Zhang and L. Kang (editors), Progress in Intelligence Computation and Applications, Proceedings, pp. 138--142, China Univ Geosciences Press, Wuhan, China, September 21-23, 2007, ISBN 978-7-5625-2204-1.

Gaoping Wang and Liyuan Bai. Game Model Based Co-evolutionary Algorithm and Its Application for Multiobjective Nutrition Decision Making Optimization Problems, in Yuping Wang, Yiu-ming Cheung and Hailin Liu (editors), Computational Intelligence and Security, International Conference, CIS 2006, pp. 177--183, Springer. Lecture Notes in Artificial Intelligence Vol. 4456, Guangzhou, China, 2007.

Maocai Wang, Yun Wu, Guangming Dai and Hanping Hu. A improved NSGA-II algorithm for constrained multi-objective optimization problems, in Progress in Intelligence Computation and Applications, Proceedings, pp. 117--119, China Univ GeosCiences Press, China Univ GeosCiences Press, September 21-23, 2007, ISBN 978-7-5625-2204-1.

Gaoping Wang and Yongji Wang. Fuzzy-dominance-driven GA and its application in evolutionary many objective optimization, Dynamics of Continuous Discrete and Impulsive Systems-Series B-Applications \& Algorithms, Vol. 14, Part 2, Supplement 3, pp. 538--543, August 2007.

Gaoping Wang and Huawei Jiang. Fuzzy-dominance and its application in evolutionary many objective optimization, in Y. P. Wang, Q. F. Zhang, H. L. Liu and Z. M. Niu (editors), CIS Workshops 2007: International Conference on Computational Intelligence and Security Workshops, pp. 195--198, IEEE Computer Society Press, Harbin, China, December 15-19, 2007, ISBN 978-0-7695-3073-4.

Chen-Shu Wang and Ching-Ter Chang. Integrated genetic algorithm and goal programming for network topology design problem with multiple objectives and multiple criteria, IEEE-ACM Transactions on Networking, Vol. 16, No. 3, pp. 680--690, June 2008.

Zai Wang, Ke Tang and Xin Yao. A multi-objective approach to testing resource allocation in modular software systems, in 2008 Congress on Evolutionary Computation (CEC'2008), Hong Kong, pp. 1148--1153, IEEE Service Center, June 2008.

Zhaohua Wang, Jianhua Yin and Weimin Ma. A Reverse Logistics Optimization Model for Hazardous Waste in the Perspective of Fuzzy Multi-Objective Programming Theory, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 1576--1580, IEEE Service Center, Hong Kong, June 2008.

Luyi Wang, Hiroyuki Ishida, Tomoyuki Hiroyasu and Mitsunori Miki. Examination of Multi-Objective Optimization Method for Global Search Using DIRECT and GA, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 2451-2456, IEEE Service Center, Hong Kong, June 2008.

N. F. Wang, Y. W. Yang and K. Tai. Optimization of Structures Under Load Uncertainties Based on Hybrid Genetic Algorithm, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 4040-4045, IEEE Service Center, Hong Kong, June 2008.

Ye Wang, Hongongfu Zuo and Defeng Lv. Improved Multiobjective Maintenance Optimization of Aircraft Equipment using Strength Pareto Genetic Algorithms with Immunity, in Fourth International Conference on Natural Computation (ICNC 2008), pp. 621-624, IEEE Computer Society Press, Jinan, Shandong, China, October 18--20 2008.

Yujia Wang and Yupu Yang. Handling Multiobjective Problems with a Novel Interactive Multi-Swarm PSO, in De-Shuang Huang, Donald C. Wunsch II, Daniel S. Levine and Kang-Hyun Jo (editors), Advanced Intelligent Computing Theories and Applications With Aspects of Artificial Intelligence, 4th International Conference on Intelligent Computing, ICIC'2008, pp. 575--582, Springer, Lecture Notes in Artificial Intelligence, Vol. 5227, Shanghai, China, September 15-18 2008. ISBN 978-3-540-85983-3.

Yuping Wang and Chuangyin Dang. An evolutionary algorithm for dynamic multi-objective optimization, Applied Mathematics and Computation, Vol. 205, No. 1, pp. 6--18, November 1, 2008.

Lingfeng Wang and Chanan Singh. Stochastic combined heat and power dispatch based on multi-objective particle swarm optimization, International Journal of Electrical Power & Energy Systems, Vol. 30, No. 3, pp. 226-234, March 2008.

Jinhua Wang and Zeyong Yin. C-NSGA-II-MOPSO: An effective multi-objective optimizer for engineering design problems, in X. T. Yan, W. J. Ion and B. Eynard (editors), Global Design to Gain a Competitive EDGE: an Holistic and Collaborative Design Approach Based on Computational Tools, pp. 519--528, Springer, Sanya, China, January 14-16, 2008, ISBN 978-1-84800-238-8.

Yi Wang, Haozhong Cheng, Chun Wang, Zechun Hu, Liangzhong Yao, Zeliang Ma and Zhonglie Zhu. Pareto optimality-based multi-objective transmission planning considering transmission congestion, Electric Power Systems Research, Vol. 78, No. 9, pp. 1619--1626, September 2008.

Lingfeng Wang and Chanan Singh. Reserve-constrained multiarea environmental/economic dispatch based on particle swarm optimization with local search, Engineering Applications of Artificial Intelligence, Vol. 22, No. 2, pp. 298--307, March 2009.

Zai Wang, Tianshi Chen, Ke Tang and Xin Yao. A Multi-Objective Approach to Redundancy Allocation Problem in Parallel-Series Systems, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 582--589, IEEE Press, Trondheim, Norway, May 2009.

Yu Wang and Bin Li. Investigation of Memory-Based Multi-Objective Optimization Evolutionary Algorithm in Dynamic Environment, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 630--637, IEEE Press, Trondheim, Norway, May 2009.

Yen-Wen Wang, Chin-Yuan Fan and Chen-Hao Liu. Applying sub-population memetic algorithm for multi-objective scheduling problems, in 6th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2009), pp. 376--379, INSTICC, Milan, Italy, July 2009.

Lingfeng Wang and Chanan Singh. Risk and Cost Tradeoff in Economic Dispatch Including Wind Power Penetration Based on Multi-Objective Memetic Particle Swarm Optimization, in Chi-Keong Goh, Yew-Soon Ong and Kay Chen Tan (editors), Multi-Objective Memetic Algorithms, chapter 10, pp. 209--230, Springer, Studies in Computational Intelligence, Vol. 171, Berlin, Germany, 2009. ISBN 978-3-540-88050-9 .

Yujia Wang and Yupu Yang. Particle swarm optimization with preference order ranking for multi-objective optimization, Information Sciences, Vol. 179, No. 12, pp. 1944-1959, May 30 2009.

Hui-feng Wang, Xiong-hui Zhou and Yanjie Qiu. Feature-based multi-objective optimization algorithm for model partitioning, International Journal of Advanced Manufacturing Technology, Vol. 43, No. 7-8, pp. 830-840, August 2009.

N.F. Wang and Y.W. Yang. Target Geometry Matching Problem for Hybrid Genetic Algorithm Used to Design Structures Subjected to Uncertainty, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 1644--1651, IEEE Press, Trondheim, Norway, May, 2009.

Yuping Wang, Chuangyin Dang, Hecheng Li, Lixia Han and Jingxuan Wei. A Clustering Multi-objective Evolutionary Algorithm Based on Orthogonal and Uniform Design, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 2927--2933, IEEE Press, Trondheim, Norway, May, 2009.

Xuesong Wang, Minglin Hao, Yuhu Cheng and Ruhai Lei. PDE-PEDA: A New Pareto-Based Multi-objective Optimization Algorithm, Journal of Universal Computer Science, Vol. 15, No. 4, pp. 722--741, 2009.

Hongfeng Wang, Shengxiang Yang, W. H. Ip and Dingwei Wang. Adaptive PrimalDual Genetic Algorithms in Dynamic Environments, IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics, Vol. 39, No. 6, pp. 1348--1361, December, 2009.

Zai Wang, Zhenyu Yang, Ke Tang and Xin Yao. Adaptive Differential Evolution for Multi-objective Optimization. in Yong Shi, Shouyang Wang, Yi Peng, Jianping Li and Yong Zeng, (editors), Cutting-Edge Research Topics on Multiple Criteria Decision Making (MCDM'2009), pp. 9--16, Springer, Communications in Computer and Information Science, Vol. 35, Heidelberg, Germany, 2009.

Wenliang Wang. New Application of Multiobjective Optimization Algorithm: Optical Thin Film Design, in Proceedings of the Second International Joint Conference on Computational Sciences and Optimization (CSO 2009), pp. 769--772, IEEE Computer Society Press, Sanya, Hainan, China, April 24-26, 2009.

Chia-Ming Wang and Yin-Fu Huang. Evolutionary-Based Feature Selection Approaches With New Criteria for Data Mining: A Case Study of Credit Approval Data, Expert Systems With Applications, Vol. 36, No. 3, pp. 5900--5908, April, 2009.

Xiaoqing Wang, Jiafu Tang and Kai-leung Yung. Optimization of the multi-objective dynamic cell formation problem using a scatter search approach, International Journal of Advances Manufacturing Technology, Vol. 44, No. 3-4, pp. 318--329, September, 2009.

Yujia Wang and Yupu Yang. Particle swarm with equilibrium strategy of selection for multi-objective optimization, European Journal of Operational Research, Vol. 200, No. 1, pp. 187--197, January 1, 2010.

Yao-Nan Wang, Liang-Hong Wu and Xiao-Fang Yuan. Multi-objective self-adaptive differential evolution with elitist archive and crowding entropy-based diversity measure, Soft Computing, Vol. 14, No. 3, pp. 193--209, February, 2010.

Y. B. Wang, P. T. Wu, X. N. Xao, J. L. Li, L. Lv and H. B. Shao. The Optimization for Crop Planning and Some Advances for Water-Saving Crop Planning in the Semiarid Loess Plateau of China, Journal of Agronomy and Crop Science, Vol. 196, No. 1, pp. 55--65, February, 2010.

Nenzi Wang and Kuo-Chiang Cha. Multi-objective optimization of air bearings using hypercube-dividing method, Tribology International, Vol. 43, No. 9, pp. 1631-1638, September, 2010.

Mingna Wang, Dayong Qin, Chuiyu Lu and Yunpeng Li. Modeling Anthropogenic Impacts and Hydrological Processes on a Wetland in China, Water Resources Management, Vol. 24, No. 11, pp. 2743-2757, September 2010.

N. F. Wang and K. Tai. Target matching problems and an adaptive constraint strategy for multiobjective design optimization using genetic algorithms, Computers & Structures, Vol. 88, No. 19-20, pp. 1064--1076, October, 2010.

Shen Wang and Mahdi Mahfouf. Efficient multi-objective optimization with fitness landscape -- A special application to the optimal design of alloy-steels, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 2060--2067, IEEE Press, Barcelona, Spain, July 18--23, 2010.

Yan Wang, Jian-Chao Zeng and Ying Tan. An Artificial Physics Optimization Algorithm for Multi-Objective Problems Based on Virtual Force Sorting Proceedings, in Bijaya Ketan Panigrahi, Swagatam Das, Ponnuthurai Nagaratnam Suganthan and Subhransu Sekhar Dash (editors), Swarm, Evolutionary, and Memetic Computing, First International Conference on Swarm, Evolutionary and Memetic Computing, SEMCCO 2010, pp. 615--622, Springer-Verlag. Lecture Notes in Computer Science Vol. 6466, Chennai, India, December 16-18, 2010.

Zai Wang, Ke Tang and Xin Yao. Multi-Objective Approaches to Optimal Testing Resource Allocation in Modular Software Systems, IEEE Transactions on Reliability, Vol. 59, No. 3, pp. 563--575, September 2010.

Lingling Wang and Yuanxiang Li. Dynamical Multi-objective Optimization Using Evolutionary Algorithm for Engineering, in Zhihua Cai, Chengyu Hu, Zhuo Kang and Yong Liu (editors), Advances in Computation and Intelligence, 5th International Symposium, ISICA 2010, pp. 304--311, Springer. Lecture Notes in Computer Science Vol. 6382, Wuhan, China, October 22-24, 2010.

Xiaojuan Wang, Liang Gao, Chaoyong Zhang and Xinyu Shao. A multi-objective genetic algorithm based on immune and entropy principle for flexible job-shop scheduling problem, The International Journal of Advanced Manufacturing Technology, Vol. 51, No. 5-8, pp. 757--767, November 2010.

FS Wang and JW Sheu. Multiobjective parameter estimation problems of fermentation processes using a high ethanol tolerance yeast, Chemical Engineering Science, Vol. 55, N. 18, pp. 3685--3695, September 2000.

Ling Wang and Ling-Po Li. Fixed-Structure H-infinity Controller Synthesis Based on Differential Evolution with Level Comparison, IEEE Transactions on Evolutionary Computation, Vol. 15, No. 1, pp. 120--129, February, 2011.

Pan Wang, Jianjian Zhang, Li Xu, Hong Wang, Shan Feng and Haoshen Zhu. How to measure adaptation complexity in evolvable systems - A new synthetic approach of constructing fitness functions, Expert Systems With Applications, Vol. 38, No. 8, pp. 10414--10419, August, 2011.

X. D. Wang, C. Hirsch, Sh. Kang and C. Lacor. Multi-objective optimization of turbomachinery using improved NSGA-II and approximation model, Computer Methods in Applied Mechanics and Engineering, Vol. 200, No. 9-12, pp. 883--895, 2011.

Yu Wang, Bin Li and Yunbi Chen. Digital IIR filter design using multi-objective optimization evolutionary algorithm, Applied Soft Computing, Vol. 11, No. 2, pp. 1851--1857, March, 2011.

Long Wang, Tong-guang Wang and Yuan Luo. Improved non-dominated sorting genetic algorithm (NSGA)-II in multi-objective optimization studies of wind turbine blades, Applied Mathematics and Mechanics-English Edition, Vol. 32, No. 6, pp. 739--748, June, 2011.

Chung-Ho Wang and Cheng-Hsiang Li. Optimization of an established multi-objective delivering problem by an improved hybrid algorithm, Expert Systems With Applications, Vol. 38, No. 4, pp. 4361--4367, April, 2011.

Ling Wang, Yunfei Mao, Qun Niu and Minrui Fei. A Multi-Objective Binary Harmony Search Algorithm, in Ying Tan, Yuhui Shi, Yi Chai and Guoyin Wang (editors), Advances in Swarm Intelligence, Second International Conference, ICSI 2011, pp. 74--81, Springer. Lecture Notes in Computer Science Vol. 6729, Chongqing, China, Spain, June 12-15, 2011.

Jun Wang, Hong Peng and Peng Shi. An optimal image watermarking approach based on a multi-objective genetic algorithm, Information Sciences, Vol. 181, No. 24, pp. 5501--5514, December 15, 2011.

Guilong Wang, Guoqun Zhao, Huiping Li and Yanjin Guan. Multi-objective optimization design of the heating/cooling channels of the steam-heating rapid thermal response mold using particle swarm optimization, International Journal of Thermal Sciences, Vol. 50, No. 5, pp. 790--802, May 2011.

W.L. Wang, X.J. Yang, G.X. Xu and Y. Huang. Multi-objective design optimization of the complete valve system in an adjustable linear hydraulic damper, Proceedings of the Institution of Mechanical Engineers Part C-Journal of Mechanical Engineering Science, Vol. 225, No. C3, pp. 679--699, 2011.

Yaping Wang and Pham Hoang. A Multi-Objective Optimization of Imperfect Preventive Maintenance Policy for Dependent Competing Risk Systems With Hidden Failure, IEEE Transactions on Reliability, Vol. 60, No. 4, pp. 770--781, December 2011.

Xianpeng Wang and Lixin Tang. A PSO-Based Hybrid Multi-Objective Algorithm for Multi-Objective Optimization Problems, in Ying Tan, Yuhui Shi, Yi Chai and Guoyin Wang (editors), Advances in Swarm Intelligence, Second International Conference, ICSI 2011, pp. 26--33, Springer. Lecture Notes in Computer Science Vol. 6729, Chongqing, China, June 12-15, 2011.

Ling Wang, Wei Ye, Xiping Fu and Muhammad Ilyas Menhas. A Modified Multi-objective Binary Particle Swarm Optimization Algorithm, in Ying Tan, Yuhui Shi, Yi Chai and Guoyin Wang (editors), Advances in Swarm Intelligence, Second International Conference, ICSI 2011, pp. 41--48, Springer. Lecture Notes in Computer Science Vol. 6729, Chongqing, China, June 12-15, 2011.

Binfang Wang and A.Y.C. Nee. A Setup Planning Approach Considering Tolerance Cost Factors, in Lihui Wang, Amos H.C. Ng and Kalyanmoy Deb (editors), Multi-objective Evolutionary Optimisation for Product Design and Manufacturing, Chapter 8, pp. 251--277, Springer, London, UK, 2011, ISBN 978-0-85729-617-7.

Ling Wang, Xiang Zhong and Min Liu. A novel group search optimizer for multi-objective optimization, Expert Systems With Applications, Vol. 39, No. 3, pp. 2939--2946, February 15, 2012.

Yong Wang and Zixing Cai. Combining Multiobjective Optimization with Differential Evolution to Solve Constrained Optimization Problems, IEEE Transactions on Evolutionary Computation, Vol. 16, No. 1, pp. 117--134, February 2012.

Shuan Wang, Dapeng Hua, Zhiguo Zhang, Ming Li, Ke Yao and Zhanyou Wen. Robust Controller Design for Main Steam Pressure Based on SPEA2, in De-Shuang Huang, Yong Gan, Prashan Premaratne and Kyungsook Han (editors), Bio-Inspired Computing and Applications, 7th International Conference on Intelligent Computing, ICIC 2011, pp. 176--182, Springer. Lecture Notes in Computer Science Vol. 6840, Zhengzhou, China, August 11-14, 2012.

JinFeng Wang, KwongSak Leung, KinHong Lee, ZhenYuan Wang and Jun Xu. Multiregression based on upper and lower nonlinear integrals, International Journal of Intelligent Systems, Vol. 27, No. 6, pp. 519--538, June 2012.

Rui Wang, Robin C. Purshouse and Peter J. Fleming. Local Preference-Inspired Co-Evolutionary Algorithms, in 2012 Genetic and Evolutionary Computation Conference (GECCO'2012), pp. 513--520, ACM Press, Philadelphia, USA, July 2012, ISBN: 978-1-4503-1177-9.

H.S. Wang, Z.H Che and C.J. Chiang A hybrid genetic algorithm for multi-objective product plan selection problem with ASP and ALB, Expert Systems with Applications, Vol. 39, No. 5, pp. 5440--5450, April 2012.

Yong Wang, Jian Xiang and Zixing Cai. A regularity model-based multiobjective estimation of distribution algorithm with reducing redundant cluster operator Applied Soft Computing, Vol. 12, No. 11, pp. 3526--3538, November 2012.

Xianpeng Wang and Lixin Tang. Multi-objective optimization using a hybrid differential evolution algorithm, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 1084--1089, IEEE Press, Brisbane, Australia, June 10-15, 2012.

Kan Wang and Yu Jun Zheng. A new particle swarm optimization algorithm for fuzzy optimization of armored vehicle scheme design, Applied Intelligence, Vol. 37, No. 4, pp. 520--526, December 2012.

A memetic particle swarm optimisation algorithm for dynamic multi-modal optimisation problems. A memetic particle swarm optimisation algorithm for dynamic multi-modal optimisation problems, International Journal of Systems Science, Vol. 43, No. 7, pp. 1268--1283, 2012.

Rui Wang, Robin C. Purshouse and Peter J. Fleming. “Whatever Works Best for You”- A New Method for a Priori and Progressive Multi-objective Optimisation, in Robin C. Purshouse, Peter J. Fleming, Carlos M. Fonseca, Salvatore Greco and Jane Shaw (editors), Evolutionary Multi-Criterion Optimization, 7th International Conference, EMO 2013, pp. 337--351, Springer. Lecture Notes in Computer Science Vol. 7811, Sheffield, UK, March 19-22, 2013.

Bo Wang and Junzo Watada. Multiobjective particle swarm optimization for a novel fuzzy portfolio selection problem, IEEJ Transactions on Electrical and Electronic Engineering, Vol. 8, No. 2, pp. 146--154, March 2013.

Ke Wang, Ruijin Liao, Lijun Yang, Jian Li, Stanislaw Grzybowski and Jian Hao. Optimal Features Selected by NSGA-II for Partial Discharge Pulses Separation Based on Time-frequency Representation and Matrix Decomposition, IEEE Transactions on Dielectrics and Electrical Insulation, Vol. 20, No. 3, pp. 825--838, June 2013.

Rui Wang, Robin C. Purshouse and Peter J. Fleming. Preference-inspired Co-evolutionary Algorithm Using Adaptivel Generated Goal Vectors, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 916--923, IEEE Press, Cancún, México, 20-23 June, 2013, ISBN 978-1-4799-0454-9.

Rui Wang, Tao Zhang and Bo Guo. An enhanced MOEA/D using uniform directions and a pre-organization procedure, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 2390--2397, IEEE Press, Cancún, México, 20-23 June, 2013, ISBN 978-1-4799-0454-9.

Ling Wang, Shengyao Wang and Min Liu. A Pareto-based estimation of distribution algorithm for the multi-objective flexible job-shop scheduling problem, International Journal of Production Research, Vol. 51, No. 12, pp. 3574--3592, June 1, 2013.

Rui Wang, Robin C. Purshouse and Peter J. Fleming. On Finding Well-Spread Pareto Optimal Solutions by Preference-inspired Co-evolutionary Algorithm, in 2013 Genetic and Evolutionary Computation Conference (GECCO'2013), pp. 695--702, ACM Press, New York, USA, July 6-10, 2013, ISBN 978-1-4503-1963-8.

N. F. Wang, X. M. Zhang and Y. W. Yang. A hybrid genetic algorithm for constrained multi-objective optimization under uncertainty and target matching problems, Applied Soft Computing, Vol. 13, No. 8, pp. 3636--3645, August 2013.

Rui Wang, Robin C. Purshouse and Peter J. Fleming. Preference-Inspired Coevolutionary Algorithms for Many-Objective Optimization, IEEE Transactions on Evolutionary Computation, Vol. 17, No. 4, pp. 474--494, August 2013.

Xianpeng Wang and Lixin Tang. Multiobjective Operation Optimization of Naphtha Pyrolysis Process Using Parallel Differential Evolution, Industrial & Engineering Chemistry Research, Vol. 52, No. 40, pp. 14415--14428, October 9, 2013.

Yan Wang and Jian-chao Zeng. A multi-objective artificial physics optimization algorithm based on ranks of individuals, Soft Computing, Vol. 17, No. 6, pp. 939--952, June 2013.

Guanghui Wang, Jie Chen, Tao Cai and Bin Xin. Decomposition-based multi-objective differential evolution particle swarm optimization for the design of a tubular permanent magnet linear synchronous motor, Engineering Optimization, Vol. 45, No. 9, pp. 1107--1127, September 1, 2013.

Tianri Wang, Shunsheng Guo and Yi Liu. Pareto process optimization of product development project using bi-objective hybrid genetic algorithm, Advances in Engineering Software, Vol. 65, pp. 12--22, November 2013.

Wenliang Wang. Design of nonpolarizing antireflection coating by using multiobjective optimization algorithm, Optik, Vol. 124, No. 16, pp. 2482--2486, 2013.

Yalin Wang, Xiaofang Chen, Weihua Gui, Chunhua Yang, Lou Caccetta and Honglei Xu. A Hybrid Multiobjective Differential Evolution Algorithm and Its Application to the Optimization of Grinding and Classification, Journal of Applied Mathematics, Article number: 841780, 2013.

Feng-Sheng Wang and Wu-Hsiung Wu. Fuzzy Multi-Objective Optimization for Metabolic Reaction Networks by Mixed-Integer Hybrid Differential Evolution, in Gade Pandu Rangaiah and Adrián Bonilla-Petriciolet (editors), Multi-Objective Optimization in Chemical Engineering: Developments and Applications, Chapter 8, pp. 217--245, John Wiley & Sons, May, 2013, ISBN 978-1-118-34166-7.

Rui Wang. Preference-inspired Co-evolutionary Algorithms, PhD thesis, Department of Automatic Control and Systems Engineering, University of Sheffield, UK, December 2013 (abstract).

Pu Wang, Ke Tang, Thomas Weise, E.P.K. Tsang and Xin Yao. Multiobjective genetic programming for maximizing ROC performance, Neurocomputing, Vol. 125, pp. 102--118, February 11, 2014.

Wang Qiao, Li Hao, Gong Maoguo, Su Linzhi and Jiao Licheng. A Multiobjective Optimization Method Based on MOEA/D and Fuzzy Clustering for Change Detection in SAR Images, in 2014 IEEE Congress on Evolutionary Computation (CEC'2014), pp. 3024--3029, IEEE Press, Beijing, China, 6-11 July 2014, ISBN 978-1-4799-1488-3.

Zhao Wang, Maoguo Gong, Qing Cai, Lijia Ma and Licheng Jiao. Deployment Optimization of Near Space Airships Based on MOEA/D with Local Search, in 2014 IEEE Congress on Evolutionary Computation (CEC'2014), pp. 2345--2352, IEEE Press, Beijing, China, 6-11 July 2014, ISBN 978-1-4799-1488-3.

Shanfeng Wang, Maoguo Gong, Lijia Ma, Qing Cai and Licheng Jiao. Decomposition Based Multiobjective Evolutionary Algorithm for Collaborative Filtering Recommender Systems, in 2014 IEEE Congress on Evolutionary Computation (CEC'2014), pp. 672--679, IEEE Press, Beijing, China, 6-11 July 2014, ISBN 978-1-4799-1488-3.

Zhenkun Wang, Qingfu Zhang, Maoguo Gong and Aimin Zhou. A Replacement Strategy for Balancing Convergence and Diversity in MOEA/D, in 2014 IEEE Congress on Evolutionary Computation (CEC'2014), pp. 2132--2139, IEEE Press, Beijing, China, 6-11 July 2014, ISBN 978-1-4799-1488-3.

Handing Wang and Xin Yao. Corner Sort for Pareto-Based Many-Objective Optimization, IEEE Transactions on Cybernetics, Vol. 44, No. 1, pp. 92--102, January, 2014.

Fangxiao Wang, Yuan Gao and Zexuan Zhu. Locality-Sensitive Hashing Based Multiobjective Memetic Algorithm for Dynamic Pickup and Delivery Problems, in 2014 IEEE Congress on Evolutionary Computation (CEC'2014), pp. 661--666, IEEE Press, Beijing, China, 6-11 July 2014, ISBN 978-1-4799-1488-3.

Zutong Wang, Jiansheng Guo, Mingfa Zheng and Youshe Yang. A New Approach for Uncertain Multiobjective Programming Problem Based on P-E Principle, Journal of Industrial and Management Optimization, Vol. 11, No. 1, pp. 13--26, January 2015.

Zutong Wang, Jiansheng Guo, Mingfa Zheng and Qifang He. A Hybrid Algorithm for Stochastic Multiobjective Programming Problem, in António Gaspar-Cunha, Carlos Henggeler Antunes and Carlos Coello Coello (editors), Evolutionary Multi-Criterion Optimization, 8th International Conference, EMO 2015, pp. 218--232, Springer. Lecture Notes in Computer Science Vol. 9018, Guimarães, Portugal, March 29 - April 1, 2015.

Rui Wang, Qingfu Zhang and Tao Zhang. Pareto Adaptive Scalarising Functions for Decomposition Based Algorithms, in António Gaspar-Cunha, Carlos Henggeler Antunes and Carlos Coello Coello (editors), Evolutionary Multi-Criterion Optimization, 8th International Conference, EMO 2015, pp. 248--262, Springer. Lecture Notes in Computer Science Vol. 9018, Guimarães, Portugal, March 29 - April 1, 2015.

Handing Wang, Licheng Jiao, Ronghua Shang, Shan He and Fang Liu. A Memetic Optimization Strategy Based on Dimension Reduction in Decision Space, Evolutionary Computation, Vol. 23, No. 1, pp. 69--100, 2015.

Shuai Wang, Shaukat Ali and Arnaud Gotlieb. Cost-effective test suite minimization in product lines using search techniques, Journal of Systems and Software, Vol. 103, pp. 370--391, May 2015.

Rui Wang, Robin C. Purshouse, Ioannis Giagkiozis and Peter J. Fleming. The iPICEA-g: a new hybrid evolutionary multi-criteria decision making approach using the brushing technique, European Journal of Operational Research, Vol. 243, No. 2, pp. 442--453, June 1, 2015.

Elizabeth F. Wanner, Frederico G. Guimaraes, Ricardo H.C. Takahashi and Peter J. Fleming. A Quadratic Approximation-Based Local Search Procedure for Multiobjective Genetic Algorithms, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 3361--3368, IEEE, Vancouver, BC, Canada, July 2006.

Elizabeth F. Wanner, Frederico G. Guimarães, Ricardo H.C. Takahashi and Peter J. Fleming. Local Search with Quadratic Approximations into Memetic Algorithms for Optimization with Multiple Criteria, Evolutionary Computation, Vol. 16, No. 2, pp. 185--224, Summer 2008.

Ben Ward and Dragan A. Savic. A multi-objective optimisation model for sewer rehabilitation considering critical risk of failure, Water Science and Technology, Vol. 66, No. 11, pp. 2410--2417, 2012.

Aryeh Warmflash and Paul Francois and Eric D. Siggia. Pareto evolution of gene networks: an algorithm to optimize multiple fitness objectives, Physical Biology, Vol. 9, No. 5, Article Number: 056001, October 2012.

Shinya Watanabe, Tomoyuki Hiroyasu and Mitsunori Miki. Parallel Evolutionary Multi-Criterion Optimization for Block Layout Problems, in 2000 International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA'2000), pp. 667--673, CSREA Press, Las Vegas, Nevada, USA, June 26-29, 2000, ISBN 1-892512-52-1.

Shinya Watanabe, Tomoyuki Hiroyasu and Mitsunori Miki. Parallel Evolutionary Multi-Criterion Optimization for Mobile Telecommunication Networks Optimization, in K.C. Giannakoglou, D.T. Tsahalis, J. Periaux, K.D. Papailiou and T. Fogarty (eds), Evolutionary Methods for Design, Optimization and Control with Applications to Industrial Problems. Proceedings of the EUROGEN'2001, pp. 167--172,International Center for Numerical Methods in Engineering(CIMNE), Barcelona, Spain, 2001.

Shinya Watanabe, Tomoyuki Hiroyasu and Mitsunori Miki. LCGA: Local Cultivation Genetic Algorithm for Multi-Objective Optimization Problems, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke and N.Jonoska (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 702, Morgan Kaufmann Publishers, San Francisco, California, July 2002.

Shinya Watanabe, Tomoyuki Hiroyasu and Mitsunori Miki. NCGA: Neighborhood Cultivation Genetic Algorithm for Multi-Objective Optimization Problems, in Erick Cantú-Paz (editor), 2002 Genetic and Evolutionary Computation Conference. Late-Breaking Papers, pp. 458--465, New York, July 2002.

Shinya Watanabe, Tomoyuki Hiroyasu and Mitsunori Miki. Neighborhood Cultivation Genetic Algorithm for Multi-Objective Optimization Problems, in Lipo Wang, Kay Chen Tan, Takeshi Furuhashi, Jong-Hwan Kim and Xin Yao (editors), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02), pp. 198--202, Vol. 1, Nanyang Technical University, Orchid Country Club, Singapore, November 2002.

Shinya Watanabe, Tomoyuki Hiroyasu and Mitsunori Miki. Multi-objective Rectangular Packing Problem and Its Applications, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 565--577, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.

Shinya Watanabe and Tomoyuki Hiroyasu. Multi-Objective Rectangular Packing Problem, in Carlos A. Coello Coello and Gary B. Lamont (editors), Applications of Multi-Objective Evolutionary Algorithms, pp. 581--602, World Scientific, Singapore, 2004.

Shinya Watanabe and Kazutoshi Sakakibara. The Effectiveness of Multiobjective Optimizer in Single-objective Optimization Environment, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 829--830, Vol. 1, ACM Press, New York, USA, June 2005.

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Jin Wu and Shapour Azarm. Metrics for Quality Assessment of a Multiobjective Design Optimization Solution Set, Transactions of the ASME, Journal of Mechanical Design, Vol. 123, pp. 18--25, 2001.

Jin Wu. Quality Assisted Multiobjective and Multidisciplinary Genetic Algorithms, PhD Thesis, Department of Mechanical Engineering, University of Maryland at College Park, Maryland, USA, 2001 (abstract) .

Xiaolan Wu. Quantification and Optimization of Spatial Contiguity in Land Use Planning, PhD thesis, The Ohio State University, USA, 2005 (abstract).

Paul Wu, Reece Clothier, Duncan Campbell and Rodney Walker. Fuzzy Multi-Objective Mission Flight Planning in Unmanned Aerial Systems, in Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM'2007), pp. 2--9, IEEE Press, Honolulu, Hawaii, USA, April 2007.

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Yong Gang Wu and Wei Gu. Study on Improving the Fitness Value of Multi-objective Evolutionary Algorithms. in Yong Shi, Shouyang Wang, Yi Peng, Jianping Li and Yong Zeng, (editors), Cutting-Edge Research Topics on Multiple Criteria Decision Making (MCDM'2009), pp. 243--250, Springer, Communications in Computer and Information Science, Vol. 35, Heidelberg, Germany, 2009.

Wenyan Wu, Angus R. Simpson and Holger R. Maier. Accounting for Greenhouse Gas Emissions in Multiobjective Genetic Algorithm Optimization of Water Distribution Systems, Journal of Water Resources Planning and Management-ASCE, Vol. 136, No. 2, pp. 146--155, March-April, 2010.

L. H. Wu, Y. N. Wang, X. F. Yuan and S. W. Zhou. Environmental/economic power dispatch problem using multi-objective differential evolution algorithm, Electric Power Systems Research, Vol. 80, No. 9, pp. 1171-1181, September, 2010.

Xiaolan Wu and Tony H. Grubesic. Identifying irregularly shaped crime hot-spots using a multiobjective evolutionary algorithm, Journal of Geographical Systems, Vol. 12, No. 4, pp. 409--433, December, 2010.

Wenyan Wu and Holger R. Maier and Angus R. Simpson. Single-Objective versus Multiobjective Optimization of Water Distribution Systems Accounting for Greenhouse Gas Emissions by Carbon Pricing, Journal of Water Resources Planning and Management-ASCE, Vol. 136, No. 5, pp. 555--565, September--October 2010.

Feng Wu, Hao Zhou, Jia-Pei Zhao and Ke-Fa Cen. A Comparative Study of the Multi-Objective Optimization Algorithms for Coal-Fired Boilers, Expert Systems With Applications, Vol. 38, No. 6, pp. 7179--7185, June 2011.

Xiaolan Wu, Alan T. Murray and Ningchuan Xiao. A multiobjective evolutionary algorithm for optimizing spatial contiguity in reserve network design, Landscape Ecology, Vol. 26, No. 3, pp. 425--437, March 2011.

Lianghong Wu, Yaonan Wang, Xiaofang Yuan and Zhenlong Chen. Multiobjective Optimization of HEV Fuel Economy and Emissions Using the Self-Adaptive Differential Evolution Algorithm, IEEE Transactions on Vehicular Technology, Vol. 60, No. 6, pp. 2458--2470, July 2011.

Yali Wu, Liqing Xu and Jingqian Xue. Improved Multiobjective Particle Swarm Optimization for Environmental/Economic Dispatch Problem in Power System, in Ying Tan, Yuhui Shi, Yi Chai and Guoyin Wang (editors), Advances in Swarm Intelligence, Second International Conference, ICSI 2011, pp. 49--56, Springer. Lecture Notes in Computer Science Vol. 6729, Chongqing, China, June 12-15, 2011.

Zhou Wu and Tommy W. S. Chow. A local multiobjective optimization algorithm using neighborhood field, Structural and Multidisciplinary Optimization, Vol. 46, No. 6, pp. 853--870, December 2012.

Wenyan Wu, Angus R. Simpson, Holger R. Maier and Angela Marchi. Incorporation of Variable-Speed Pumping in Multiobjective Genetic Algorithm Optimization of the Design of Water Transmission Systems , Journal of Water Resources Planning and Management-ASCE, Vol. 138, No. 5, pp. 543--552, September--October 2012.

Chung-Wei Wu, Tsung-Che Chiang and Li-Chen Fu. An Ant Colony Optimization Algorithm for Multi-objective Clustering in Mobile Ad Hoc Networks, in 2014 IEEE Congress on Evolutionary Computation (CEC'2014), pp. 2963--2968, IEEE Press, Beijing, China, 6-11 July 2014, ISBN 978-1-4799-1488-3.

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Hu Xia, Jian Zhuang and Dehong Yu. Multi-objective unsupervised feature selection algorithm utilizing redundancy measure and negative epsilon-dominance for fault diagnosis, Neurocomputing, Vol. 146, pp. 113--124, December 25, 2014.

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Hansong Xiao. A New Multiobjective Optimization Algorithm Based on Artificial Immune Systems and Its Engineering Application, PhD thesis, Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Canada, 2006 (abstract).

Ningchuan Xiao, David A. Bennett and Marc P. Armstrong. Interactive evolutionary approaches to multiobjective spatial decision making: A synthetic review, Computers Environment and Urban Systems, Vol. 31, No. 3, pp. 232--252, May 2007.

Hansong Xiao and Jean W. Zu. A new constrained multiobjective optimization algorithm based on artificial immune systems, in A. Ming, S. Guo and S. Liu (editors), 2007 IEEE International Conference on Mechatronics and Automation, Vols I-V, Conference Proceedings, pp. 3122--3127, IEEE, Harbin, China, August 05-08, 2007, ISBN 978-1-4244-0827-6.

Jianhua Xiao, Jin Xu, Xiutang Geng and Linqiang Pan. Multi-objective carrier chaotic evolutionary algorithm for DNA sequences design, Progress in Natural Science, Vol. 17, No. 12, pp. 1515--1520, December 2007.

Ying Xiao, Yong-Hua Song and Chen-Ching Liu. An Interactive Compromise Programming-Based Multiobjective Approach to FACTS Control. In Kwang Y. Lee and Mohamed A. El-Sharkawi, (editors), Modern Heuristic Optimization Techniques. Theory and Applications to Power Systems, chapter 18, pp. 501--523. Wiley-Interscience, USA, 2008.

Fei Xiao and James D. McCalley. Power System Risk Assessment and Control in a Multiobjective Framework, IEEE Transactions on Power Systems, Vol. 24, No. 1, pp. 78--85, February 2009.

Weiyue Xiao, Bin Zeng and Youxin Luo. Technologic Parameter Multi-objective Optimization of Gas Quenching Process Using Grey Improved Absolute Degree of Grey Incidence Method, in IEEE International Conference on Intelligent Computing and Intelligent Systems, pp. 8--12, IEEE Press, Shanghai, China, November 20-22, 2009, ISBN 978-1-4244-4754-1.

Hong Xiao, Yuan Li, Kaifu Zhang, Jianfeng Yu, Zhenxing Liu and Jianbin Su. Multi-objective Optimization Method for Automatic Drilling and Riveting Sequence Planning, Chinese Journal of Aeronautics, Vol. 23, No. 6, pp. 734--742, December 2010.

Shunli Xiao and Yangmin Li. Optimal Design, Fabrication, and Control of an XY Micropositioning Stage Driven by Electromagnetic Actuators, IEEE Transactions on Industrial Electronics, Vol. 60, No. 10, pp. 4613--4626, October 2013.

Yang Xiao, Martin A. Trefzer, James Alfred Walker, Simon J. Bale and Andy M. Tyrrell. Two Step Evolution Strategy for Device Motif BSIM Model Parameter Extraction, in 2014 IEEE Congress on Evolutionary Computation (CEC'2014), pp. 2877--2884, IEEE Press, Beijing, China, 6-11 July 2014, ISBN 978-1-4799-1488-3.

Jing Xiao, Zhou Wu and Jian-Chao Tang. Hybridization of Electromagnetism with Multi-objective Evolutionary Algorithms for RCPSP, in 2014 Genetic and Evolutionary Computation Conference (GECCO 2014), pp. 653--660, ACM Press, Vancouver, Canada, July 12-16, 2014, ISBN 978-1-4503-2662-9.

Jia Xiaoping, Zhang Tianzhu, Wang Fang and Han Fangyu. Multi-objective modeling and optimization for cleaner production processes, Journal of Cleaner Production, Vol. 14, No. 2, pp. 146--151, 2006.

Jing-Xin Xie, Chun-Tian Cheng and Zhen-Hui Ren. An Improved Discrete Immune Network for Multimodal Optimization, in Emilio Corchado, Hujun Yin, Vicente J. Botti and Colin Fyfe (editors), Intelligent Data Engineering and Automated Learning - IDEAL 2006, 7th International Conference, pp. 1079-1086, Springer, Lecture Notes in Computer Science Vol. 4224, Burgos, Spain, September 20-23 2006.

Dexin Xie, Xiaowen Sun, Baodong Bai and Shiyou Yang. Multiobjective Optimization Based on Response Surface Model and Its Application to Engineering Shape Design, IEEE Transactions on Magnetics, Vol. 44, No. 6, pp. 1006-1009, June 2008.

Jiongliang Xie, Jinhua Zheng, Biao Luo and Miqing Li. Applying a New Grid-Based Elitist-Reserving Strategy to EMO Archive Algorithms, in Franco P. Preparata, Xiaodong Wu and Jianping Yin (editors), Frontiers in Algorithmics, Second Annual International Workshop, FAW 2008, pp. 276--287, Springer. Lecture Notes in Computer Science Vol. 5059, Changsha, China, June 19-21, 2008.

Qinlan Xie and Hong Chen. Multi-object Optimal Design of Analog Filter Based on Improved Genetic Algorithm, in ICICTA: 2009 Second Internationl Conference on Intelligent Computation Technology and Automation, Vol I, Proceedings, pp. 362--365, IEEE Computer Society, Changsha, China, October 10-11, 2009, ISBN 978-0-7695-3804-4.

Datong Xie, Lixin Ding, Yurong Hu, Shenwen Wang, ChengWang Xie and Lei Jiang. A Multi-Algorithm Balancing Convergence and Diversity for Multi-Objective Optimization, Journal of Information Science and Engineering, Vol. 29, No. 5, pp. 811--834, September, 2013.

Lixia Xie and Yali Wu. A Modified Multi-Objective Optimization Based on Brain Storm Optimization Algorithm, in Ying Tan, Yuhui Shi and Carlos A. Coello Coello (editors), Advances in Swarm Intelligence, 5th International Conference, ICSI 2014, pp. 328--339, Springer. Lecture Notes in Computer Science Vol. 8795, Hefei, China, October 17-20, 2014, ISBN 978-3-319-11896-3.

Hai-Yun Helen Xing. Building Load Control and Optimization, PhD thesis, Department of Architecture, The Massachusetts Institute of Technology, Cambridge, Massachusetts, USA, February 2004 (abstract).

Li-Ning Xing, Ying-Wu Chen and Ke-Wei Yang. Interactive Fuzzy Multi-objective Ant Colony Optimization with Linguistically Quantified Decision Functions for Flexible Job Shop Scheduling Problems, in Daniel Howard, Phill Kyu Rhee, Saman Halgamuge, and Seong-Joon Yoo, (editors), Frontiers in the Convergence of Bioscience and Information Technologies (FBIT 2007), pp. 801-806, IEEE Computer Society, Cheju Island, Korea, October, 2007.

Zong-Yi Xing, Yong Zhang, Yuan-Long Hou and Li-Min Jia. On generating fuzzy systems based on pareto multi-objective cooperative coevolutionary algorithm, International Journal of Control Automation and Systems, Vol. 5, No. 4, pp. 444--55, August 2007.

Li-Ning Xing, Ying-Wu Chen and Ke-Wei Yang. Multi-objective flexible job shop schedule: design and evaluation by simulation modeling, Applied Soft Computing, Vol. 9, No. 1, pp. 362--376, January 2009.

Li-Ning Xing, Ying-Wu Chen and Ke-Wei Yang. An efficient search method for multi-objective flexible job shop scheduling problems, Journal of Intelligent Manufacturing, Vol. 20, No. 3, pp. 283--293, June 2009.

Huanlai Xing and Rong Qu. A nondominated sorting genetic algorithm for bi-objective network coding based multicast routing problems, Information Sciences, Vol. 233, pp. 36--53, June 1, 2013.

Huanlai Xing. Evolutionary Approaches for Network Coding Based Multicast Routing Problems, PhD thesis, University of Nottingham, UK, June 2013 (abstract).

Shengwu Xiong and Feng Li. Parallel Strength Pareto Multi-objective Evolutionary Algorithm for Optimization Problems, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 4, pp. 2712--2718, IEEE Press, Canberra, Australia, December 2003.

Shengwu Xiong and Feng Li. Parallel Strength Pareto Multi-objective Evolutionary Algorithm, in Proceedings of the Fourth International Conference on Applications and Technologies (PDCAT'2003), IEEE, pp. 681--683, August 2003.

J. H. Xiong, P. D. Zhang, X. Z. Shi, Y. K. Zhang and G. W. Xu. The multicriteria-decision-making simultaneous optimization based on genetic algorithm in chiral capillary electrophoresis separation, Chemical Journal of Chinese Universities-Chinese, Vol. 25, No. 5, pp. 896--899, May 2004.

Hugang Xiong and Haozhong Cheng. Optimal reactive power flow incorporating static voltage stability based on multi-objective adaptive immune algorithm, Energy Conversion and Management, Vol. 49, No. 5, pp. 1175-1181, May 2008.

Ying Xiong and Yaping Kuang. Applying an ant colony optimization algorithm-based multiobjective approach for time-cost trade-off, Journal of Construction Engineering and Management-ASCE, Vol. 134, No. 2, pp. 153--156, February, 2008.

Jian Xiong, Jing Liu, Yingwu Chen and Hussein A. Abbass. An Evolutionary Multi-objective Scenario-Based Approach for Stochastic Resource Investment Project Scheduling, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 2767--2774, IEEE Service Center, New Orleans, Louisiana, USA, 5-8 June, 2011.

Jian Xiong, Ke-wei Yang, Jing Liu, Qing-song Zhao and Ying-wu Chen. A two-stage preference-based evolutionary multi-objective approach for capability planning problems, Knowledge-Based Systems, Vol. 31, pp. 128--139, July 2012.

Jian Xiong, Kamran Shafi and Hussein A. Abbass. Multi-Uncertainty Problems (MUP) with applications to managing risk in resource-constrained project scheduling, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 118--125, IEEE Press, Brisbane, Australia, June 10-15, 2012.

Jian Xiong, Xu Tan, Ke-wei Yang, Li-ning Xing and Ying-wu Chen. A Hybrid Multiobjective Evolutionary Approach for Flexible Job-Shop Scheduling Problems, Mathematical Problems in Engineering, Article Number: 478981, 2012.

Jian Xiong, Ying-wu Chen, Ke-wei Yang, Qing-song Zhao and Li-ning Xing. A Hybrid Multiobjective Genetic Algorithm for Robust Resource-Constrained Project Scheduling with Stochastic Durations, Mathematical Problems in Engineering, Article Number: 786923, 2012.

Jian Xiong, Jing Liu, Yingwu Chen and Hussein A. Abbass. A Knowledge-Based Evolutionary Multiobjective Approach for Stochastic Extended Resource Investment Project Scheduling Problems, IEEE Transactions on Evolutionary Computation, Vol. 18, No. 5, pp. 742--763, October 2014.

Zhou XiuLing, Sun ChengYi, Mao Ning and Li WenJuan. Generalization of HSO Algorithm for Computing Hypervolume for Multiobjective Optimization Problems, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 3114--3118, IEEE Press, Singapore, September 2007.

J.X. Xu, C.S. Chang and X.W. Wang. Constrained multiobjective global optimisation of longitudinal interconnected power system by genetic algorithm, IEE Proceedings on Generation, Transmission and Distribution, Vol. 143, No. 5, pp. 435--446, September 1996.

Jian-Xin Xu, Sanjib Kumar Panda and Qing Zheng. Multiobjective Optimization of Current Waveforms for Switched Reluctance Motors by Genetic Algorithm, in Congress on Evolutionary Computation (CEC'2002), Vol. 2, pp. 1860--1865, IEEE Service Center, Piscataway, New Jersey, May 2002.

Qinzhen Xu, Qiangfu Zhao, Wenjiang Pei, Luxi Yang and Zhenya He. Interpretable Neural Network Tree for Continuous-Feature Data Sets, Neural Information Processing, Vol. 3, No. 3, pp. 77--84, June 2004.

Kai Xu, Sushil J. Louis and Roberto C. Mancini. A Scalable Parallel Genetic Algorithm for X-ray Spectroscopic Analysis, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 811--816, Vol. 1, ACM Press, New York, USA, June 2005.

Jiefeng Xu, Milind Sohoni, Mike McCleery and T. Glenn Bailey. A dynamic neighborhood based tabu search algorithm for real-world flight instructor scheduling problems, European Journal of Operational Research, Vol. 169, pp. 978--993, 2006.

Li Xu and Chunping Li. Multi-objective Parameters Selection for SVM Classification Using NSGA-II, in Petra Perner (editor), Advances in Data Mining, Applications in Medicine, Web Mining, Marketing, Image and Signal Mining. 6th Industrial Conference on Data Mining, ICDM 2006, pp. 365--376, Springer. Lecture Notes in Artificial Intelligence Vol. 4065, Leipzig, Germany, July 14-15, 2006.

Lihong Xu, Qingsong Hu and Erik D. Goodman. A Compatible Energy-Saving Control Algorithm for a Class of Conflicted Multi-Objective Control Problem, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 4446--4453, IEEE Press, Singapore, September 2007.

Jiuping Xu and Yonggang Liu. Multi-objective decision making model under fuzzy random environment and its application to inventory problems, Information Sciences, Vol. 178, No. 14, pp. 2899--2914, July 15 2008

Lihong Xu, Haigen Hu and Bingkun Zhu. Energy-saving Control of Greenhouse Climate Based on MOCC Strategy, in 2009 ACM SIGEVO Summit on Genetic and Evolutionary Computation (GEC'2009), pp. 645-650, ACM Press, Shanghai, China, June 12-14 2009. ISBN 978-1-60558-326-6.

Lihong Xu, Bingkun Zhu and Erik D. Goodman. An Improved MOCC with Feedback Control Structure Based on Preference, in 2009 ACM SIGEVO Summit on Genetic and Evolutionary Computation (GEC'2009), pp. 651-656, ACM Press, Shanghai, China, June 12-14 2009. ISBN 978-1-60558-326-6.

Mian Xu, Shrikant Bhat, Robin Smith, Gill Stephens and Jhuma Sadhukhan. Multi-objective optimisation of metabolic productivity and thermodynamic performance, Computers & Chemical Engineering, Vol. 33, No. 9, pp. 1438--1450, September 9, 2009.

Qingzheng Zhu, Jing Si and Lei Wang. Association Based Immune Network for Multimodal Optimization, in 2009 ACM SIGEVO Summit on Genetic and Evolutionary Computation (GEC'2009), pp. 657-664, ACM Press, Shanghai, China, June 12-14, 2009. ISBN 978-1-60558-326-6.

Xinli Xu, Xinhua Dai, Ping Hao and Wanliang Wang. Multi_objective Model of Mixed Continuous/Batch Plants Planning Problem and Its Particle Swarm Optimization Algorithm, in CCDC 2009: 21st Chinese Control and Decision Conference, pp. 2521--2526, IEEE Press, Guilin, China, June 17-19, 2009, ISBN 978-1-4244-2723-9.

Bin Xu and Nan Chen. An integrated method of CAD, CAE and multi-objective optimization, in Y.H. Pan, S.Q. Sun, M.Q. Zhou, Z.K. Lin, Z.Y. Hu and M. Hyungjae (editors), 2009 IEEE 10th International Conference on Computer-Aided Industrial Design & Conceptual Design: E-Business, Creative Design, Manufacturing - CAID & CD'2009, pp. 1010--1014, IEEE Press, Wenzhou, China, November 26-29, 2009, ISBN 978-1-4244-5267-5.

Jiuping Xu and Lihui Zhao. A multi-objective decision-making model with fuzzy rough coefficients and its application to the inventory problem, Information Sciences, Vol. 180, No. 5, pp. 679--696, March 1, 2010.

Shuo Xu, Ze Ji, Duc Troung Pham and Fan Yu. Bio-Inspired Binary Bees Algorithm for a Two-Level Distribution Optimisation Problem, Journal Of Bionic Engineering, Vol. 7, No. 2, pp. 161-167, June, 2010.

Hua Xu and Jianhua Xu. Designing a Multi-label Kernel Machine with Two-Objective Optimization, in Fu Lee Wang, Hepu Deng, Yang Gao and Jingsheng Lei (editors), Artificial Intelligence and Computational Intelligence, International Conference, AICI 2010, pp. 282--291, Springer. Lecture Notes in Computer Science Vol. 6319, Sanya, China, October 23-24, 2010.

Y. Xu and R. Qu. Solving multi-objective multicast routing problems by evolutionary multi-objective simulated annealing algorithms with variable neighbourhoods, Journal of the Operational Research Society, Vol. 62, No. 2, pp. 313--325, February, 2011.

Jiuping Xu and Fang Yan. A multi-objective decision making model for the vendor selection problem in a bifuzzy environment, Expert Systems with Applications, Vol. 38, No. 8, pp. 9684--9695, August 2011.

Jiuping Xu and Can Ding. A class of chance constrained multiobjective linear programming with birandom coefficients and its application to vendors selection, International Journal of Production Economics, Vol. 131, No. 2, pp. 709--720, June 2011.

Shuo Xu, Ze Ji, Duc Truong Pham and Fan Yu. Binary Bees Algorithm - bioinspiration from the foraging mechanism of honeybees to optimize a multiobjective multidimensional assignment problem, Engineering Optimization, Vol. 43, No. 11, pp. 1141--1159, 2011.

Ming Xu and Zongzhi Wu. Unconstrained Two-Objective Land-Use Planning Based-on NSGA-II for Chemical Industry Park, in Yong Shi, Shouyang Wang, Gang Kou and Jyrki Wallenius (editors), New State of MCDM in the 21st Century Selected Papers of the 20th International Conference on Multiple Criteria Decision Making 2009, pp. 189--197, Springer. Lecture Notes in Economics and Mathematical Systems Vol. 648, Berlin, Germany, 2011.

Jiuping Xu and Zongmin Li. Multi-objective Dynamic Costruction Site Layout Plannig in Fuzzy Random Environment, Automation in Construction, Vol. 27, pp. 155--169, November 2012.

Jiuping Xu and Zhimiao Tao. A class of multi-objective equilibrium chance maximization model with twofold random phenomenon and its application to hydropower station operation, Mathematics and Computers in Simulation, Vol. 85, pp. 11--33, November 2012.

Jiuping Xu, Yan Tu and Ziqiang Zeng. A Nonlinear Multiobjective Bilevel Model for Minimum Cost Network Flow Problem in a Large-Scale Construction Project, Mathematical Problems in Engineering, Article Number: 463976, 2012.

Wenxing Xu, Zhiqiang Geng, Qunxiong Zhu and Xiangbai Gu. A piecewise linear chaotic map and sequential quadratic programming based robust hybrid particle swarm optimization, Information Sciences, Vol. 218, pp. 85--102, January 1, 2013.

Zhuoran Xu, Mikko Polojärvi, Masahito Yamamoto and Masashi Furukawa. Atracction Basin Estimatign GA: An Adpative and Efficient Technique for Multimodal Optimization, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 333--340, IEEE Press, Cancún, México, 20-23 June, 2013, ISBN 978-1-4799-0454-9.

Heming Xu, Yinglin Wang and Xin Xu. Multiobjective Particle Swarm Optimization Based on Dimensional Update, International Journal on Artificial Intelligence Tools, Vol. 22, No. 3, Article Number: 1350015, June 2013.

Ying Xu, Rong Qu and Renfa Li. A simulated annealing based genetic local search algorithm for multi-objective multicast routing problems, Annals of Operations Research, Vol. 206, No. 1, pp. 527--555, July 2013.

Yan Xu, Zhao Yang Dong, Ke Meng, Wei Feng Yao, Rui Zhang and Kit Po Wong. Multi-Objective Dynamic VAR Planning Against Short-Term Voltage Instability Using a Decomposition-Based Evolutionary Algorithm, IEEE Transactions on Power Systems, Vol. 29, No. 6, pp. 2813--2822, November 2014.

Wanye Xu, B. Y. Duan, Peng Li, Naigang Hu and Yuanying Qiu. Multiobjective Particle Swarm Optimization of Boresight Error and Transmission Loss for Airborne Radomes, IEEE Transactions on Antennas and Propagation, Vol. 62, No. 11, pp. 5880--5885, November 2014.

Ying Xu and Huanlai Xing. A Multi-objective Jumping Particle Swarm Optimization Algorithm for the Multicast Routing, in Ying Tan, Yuhui Shi and Carlos A. Coello Coello (editors), Advances in Swarm Intelligence, 5th International Conference, ICSI 2014, pp. 414--423, Springer. Lecture Notes in Computer Science Vol. 8794, Hefei, China, October 17-20, 2014.

Heming Xu, Yinglin Wang and Xin Xu. The crowd framework for multiobjective particle swarm optimization, Artificial Intelligence Review, Vol. 42, No. 2, pp. 1095--1138, December 2014.

Zhitao Xu, X. G. Ming, Maokuan Zheng, Miao Li, Lina He and Wenyan Song. Cross-trained workers scheduling for field service using improved NSGA-II, International Journal of Production Research, Vol. 53, No. 4, pp. 1255--1272, February 16, 2015.

Gang Xu, Yu-qun Yang, Bin-Bin Liu, Yi-hong Xu and Ai-jun Wu. An efficient hybrid multi-objective particle swarm optimization with a multi-objective dichotomy line search, Journal of Computational and Applied Mathematics, Vol. 280, pp. 310--326, May 15, 2015.

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Feng Xue, Arthur Sanderson and Robert Graves. Multi-Objective Routing in Wireless Sensor Networks with a Differential Evolution Algorithm, in Proceedings of the 2006 IEEE International Conference on Networking, Sensing and Control, pp. 880--885, IEEE Press, Ft. Lauderdale, Florida, USA, 2006, ISBN 1-4244-0065-1.

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Jingqian Xue, Yali Wu, Yuhui Shi and Shi Cheng. Brain Storm Optimization Algorithm for Multi-objective Optimization Problems, in Ying Tan, Yuhui Shi and Zhen Ji (editors), Advances in Swarm Intelligence, Third International Conference, ICSI 2012, pp. 513--519, Springer. Lecture Notes in Computer Science Vol. 7331, Shenzhen, China, June 17-20, 2012.

Bing Xue, Mengjie Zhang and Will N. Browne. Multi-objective Particle Swarm Optimisation (PSO) for Feature Selection, in 2012 Genetic and Evolutionary Computation Conference (GECCO'2012), pp. 81--88, ACM Press, Philadelphia, USA, July 2012, ISBN: 978-1-4503-1177-9.

Bing Xue, Liam Cervante, Lin Shang, Will N. Browne and Mengjie Zhang. A multi-objective particle swarm optimisation for filter-based feature selection in classification problems, Connection Science, Vol. 24, Nos. 2-3, pp. 91--116, 2012.

Bing Xue, Mengjie Zhang and Will N. Browne. Particle Swarm Optimization for Feature Selection in Classification: A Multi-Objective Approach, IEEE Transactions on Cybernetics, Vol. 43, No. 6, pp. 1656--1671, December 2013.

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Zhenyu Yan, Linghai Zhang, Lishan Kang and Guangming Lin. A New MOEA for Multi-objective TSP and Its Convergence Property Analysis, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 342--354, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.

Gaowei Yan, Gang Xie, Keming Xie and Tsau Young Lin. Granular computing based sorting method in multi-objective optimization, in T. Y. Lin, X. Hu, J. Han, X. Shen and Z. Li (editors), GRC: 2007 IEEE International Conference on Granular Computing, pp. 78--82, IEEE Computer Society Press, San Jose, California, USA, November 2-4, 2007, ISBN 978-0-7695-3032-1.

Jingyu Yan, Chongguo Li, Zhi Wang, Lei Deng and Demin Sun. Diversity metrics in multi-objective optimization: Review and perspective, in 2007 IEEE International Conference on Integration Technology, Proceedings, pp. 553--557, IEEE, Shenzhen, China, March 20-24, 2007, ISBN 978-1-4244-1091-0.

Bai Yan, Jiang Yiheng, Zhu Yaochun, Li Xiaofei and Fan Li. Modeling a Complex System using Multiobjective Genetic Programming, in 2008 3rd IEEE Conference on Industrial Electronics and Applications, pp. 781--784, IEEE Press, Singapore, June 3-5, 2008, ISBN 978-1-4244-1717-9.

Nannan Yan and Zhengca Fu. Optimization and Coordination of UPFC Controls Using MOPSO, International Review of Electrical Engineering-IREE, Vol. 5, No. 5, pp. 2327--2332, September--October, 2011.

S.R.M Yandamuri, K. Srinivasan and S.M. Bhallamudi. Multiobjective optimal waste load allocation models for rivers using Nondominated Sorting Genetic Algorithm-II, Journal of Water Resources Planning and Management-ASCE, Vol. 132, No. 3, pp. 133--143, May-June 2006.

Toshihiko Yanase and Hitoshi Iba. Evolutionary Motion Design for Humanoid Robots, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 1825--1832, Vol. 2, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .

Toshihiko Yanase and Hitoshi Iba. Evolutionary Multi-Objective Optimization for Biped Walking, in Xiaodong Li, Michael Kirley, Mengjie Zhang, David G. Green, Victor Ciesielski, Hussein A. Abbass, Zbigniew Michalewicz, Tim Hendtlass, Kalyanmoy Deb, Kay Chen Tan, Jürgen Branke and Yuhui Shi (editors), Simulated Evolution and Learning, 7th International Conference, SEAL 2008, pp. 635--644, Springer. Lecture Notes in Computer Science Vol. 5361, Melbourne, Australia, December 7-10, 2008.

Xiaofeng Yang and Mitsuo Gen. Evolution program for bicriteria transportation problem. In M. Gen and T. Kobayashi, editors, Proceedings of the 16th International Conference on Computers and Industrial Engineering, pages 451-454, Ashikaga, Japan, 1994. Pergamon Press.

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Yingxu Yang and S.A. Billings. Extracting Boolean Rules from CA Patterns, IEEE Transactions on Systems, Man and Cybernetics---Part B: Cybernetics, Vol. 30, No. 4, pp. 573--580, August 2000.

Zichen Yang and Bo Meng. A Multi-objective Genetic Algorithms Method for Generating Pareto Solutions in Bilateral Negotiations, Proceedings of the 4th World Congress on Intelligent Control and Automation, Vol. 2, pp. 1985--1989, 2002.

BS Yang, YS Yeun and WS Ruy. Managing approximation models in multiobjective optimization, Structural And Multidisciplinary Optimization, Vol. 24, No. 2, pp. 141-156, September, 2002.

S.Y. Yang, J.R. Cardoso, S.L. Ho, P.H. Ni, J.M. Machado and E.W.C. Lo. An improved tabu-based vector optimal algorithm for design optimizations of electromagnetic devices, IEEE Transactions on Magnetics, Vol. 40, No. 2, pp. 1140--1143, Part 2, March 2004.

S.M. Yang, D.G. Shao and Y.J. Luo. A novel evolution strategy for multiobjective optimization problem, Applied Mathematics and Computation, Vol. 170, No. 2, pp. 850--873, November 15, 2005.

Ang Yang, Hussein A. Abbass and Ruhul Sarker. Characterizing warfare in red teaming, IEEE Transactions on Systems, Man and Cybernetics, Part B--Cybernetics, Vol. 36, No. 2, pp. 268--285, April 2006.

Ang Yang, Hussein A. Abbass and Ruhul Sarker. Land Combat Scenario Planning: A Multiobjective Approach, in Tzai-Der Wang, Xiaodong Li, Shu-Heng Chen, Xufa Wang, Hussein Abbass, Hitoshi Iba, Guoliang Chen and Xin Yao (editors), Simulated Evolution and Learning, 6th International Conference, SEAL 2006, pp. 837--844, Springer. Lecture Notes in Computer Science Vol. 4247, Hefei, China, October 2006.

I-Tung Yang. Using elitist particle swarm optimization to facilitate bicriterion time-cost trade-off analysis, Journal of Construction Engineering and Management-ASCE, Vol. 133, No. 7, pp. 498--505, July 2007.

I-Tung Yang. Pareto Archived PSO Optimization for Time-Cost Tradeoff Analysis, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 3329--3334, IEEE Press, Singapore, September 2007.

Junjie Yang, Jianzhong Zhou, Fang Liu, Rengcun Fang and Jianwei Zhong. Multi-objective particle swarm optimization based on adaptive grid algorithms, in Dynamics of Continuous Discrete and Impulsive Systems-Series B-Applications & Algorithms, pp. 687--694, Watam Press, Wuhan, China, September 18-22, 2006.

Chao-Chung Yang, Liang-Cheng Chang, Chao-Hsien Yeh and Chang-Shian Chen. Multiobjective planning of surface water resources by multiobjective genetic algorithm with constrained differential dynamic programming, Journal of Water Resources Planning and Management-ASCE, Vol. 133, No. 6, pp. 499--508, November-December 2007.

F. Yang, Chung Min Kwan and C.S. Chang. Multiobjective evolutionary optimization of substation maintenance using decision-varying Markov model, IEEE Transactions on Power Systems, Vol. 23, No. 3, pp. 1328--1335, August 2008.

Ming Yang, Lishan Kang and Jing Guan. Multi-Algorithm Co-evolution Strategy for Dynamic Multi-Objective TSP, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 466--471, IEEE Service Center, Hong Kong, June 2008.

Guang Ya Yang. Applying Advanced Methods to Power System Planning Studies, PhD thesis, The University of Queensland, Australia, October 2008 (abstract).

Xue-Song Yang, Kai Tat Ng, Sai Ho Yeung and Kim Fung Man. Jumping Genes Multiobjective Optimization Scheme for Planar Monpole Ultrawideband Antenna, IEEE Transactions on Antennas and Propagation, Vol. 56, No. 12, pp. 3659--3666, December 2008.

P. C. Yang, H. M. Wee, S. L. Chung, C. J. Chung and Y. F. Tseng. Multi-supplier and multi-product with stochastic demand and constraints using genetic algorithm, in Proceedings of 2008 International Conference on Machine Learning and Cybernetics, Vols 1-7, pp. 3946--3951, IEEE, Kunming, China, July 12-15, 2008, ISBN 978-1-4244-2095-7.

Jia-Wei Yang, Hsueh-Chien Cheng, Tsung-Che Chiang and Li-Chen Fu. Multiobjective Lot Scheduling and Dynamic OHT Routing in a 300-mm Wafer Fab, in 2008 IEEE International Conference on Systems, Man and Cybernetics (SMC 2008), pp. 1607--1612, IEEE Press, Singapore, October 12-15, 2008, ISBN 978-1-4244-2383-5.

Dongdong Yang, Licheng Jiao and Maoguo Gong. Adaptive mult-objective optimization based on nondominated solutions, Computational Intelligence, Vol. 25, No. 2, pp. 84--108, May 2009.

Junjie Yang, Jianzhong Zhou, Li Liu and Yinghai Li. A novel strategy of pareto-optimal solution searching in multi-objective particle swarm optimization (MOPSO), Computers & Mathematics with Applications, Vol. 57, No. 11--12, pp. 1995--2000, June 2009.

Dongdong Yang, Licheng Jiao, Maoguo Gong and Hongxiao Feng. Hybrid Multiobjective Estimation of Distribution Algorithm by Local Linear Embedding and an Immune Inspired Algorithm, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 463--470, IEEE Press, Trondheim, Norway, May 2009.

Chao-Chung Yang, Liang-Cheng Chang, Chang-Shian Chen and Ming-Sheng Yeh. Multi-objective Planning for Conjunctive Use of Surface and Subsurface Water Using Genetic Algorithm and Dynamics Programming, Water Resources Management, Vol. 23, No. 3, pp. 417-437, February 2009.

F. Yang and C. S. Chang. Optimisation of maintenance schedules and extents for composite power systems using multi-objective evolutionary algorithm, IET Generation Transmission & Distribution, Vol. 3, No. 10, pp. 930--940, October 2009.

F. Yang and C. S. Chang. Multiobjective Evolutionary Optimization of Maintenance Schedules and Extents for Composite Power Systems, IEEE Transactions on Power Systems, Vol. 24, No. 4, pp. 1694--1702, November 2009.

Seung-Han Yang, J. Srinivas, Sekar Mohan, Dong-Mok Lee and Sree Balaji. Optimization of electric discharge machining using simulated annealing, Journal of Materials Processing Technology, Vol. 209, No. 9, pp. 4471--4475, May 1, 2009.

Lingyun Yang, David Robin, Fernando Sannibale, Christoph Steier and Weishi Wan. Global optimization of an accelerator lattice using multiobjective genetic algorithms, Nuclear Instruments & Methods in Physics Research Section A-Accelerators Spectrometers Detectors and Associated Equipment, Vol. 609, No. 1, pp. 50--57, October 1, 2009.

J. Ou Yang, Q.R. Yuan, F. Yang, H.J. Zhou, Z.P. Nie and Z.Q. Zhao. Synthesis of Conformal Phased Array With Improved NSGA-II Algorithm, IEEE Transactions on Antennas and Propagation, Vol. 57, No. 12, pp. 4006--4009, December 2009.

Yahong Yang, Guiling Wu, Jianping Chen and Wei Dai. Multi-objective optimization based on ant colony optimization in grid over optical burst switching networks, Expert Systems with Applications, Vol. 37, No. 2, pp. 1769--1775, March, 2010.

S. H. Yang and U. Natarajan. Multi-objective optimization of cutting parameters in turning process using differential evolution and non-dominated sorting genetic algorithm-II approaches, International Journal of Advanced Manufacturing Technology, Vol. 49, No. 5-8, pp. 773-784, July 2010.

S. H. Yang, U. Natarajan, M. Sekar and S. Palani. Prediction of surface roughness in turning operations by computer vision using neural network trained by differential evolution algorithm, International Journal of Advanced Manufacturing Technology, Vol. 51, No. 9-12, pp. 965-971, December, 2010.

Dongdong Yang, Licheng Jiao, Maoguo Gong and Jie Feng. Adaptive Ranks Clone And k-Nearest Neighbor List-Based Immune Multi-Objective Optimization, Computational Intelligence, Vol. 26, No. 4, pp. 359-385, November 2010.

Wan'an Yang, Chao Hu, Mao Li, Max Q.-H. Meng and Shuang Song A New Tracking System for Three Magnetic Objectives, IEEE Transactions on Magnetics, Vol. 46, No. 12, pp. 4023--2049, December, 2010.

Bo Yang Qu, Pushpan Gouthanan and Ponnuthurai Nagaratnam Suganthan. Dynamic Grouping Crowding Differential Evolution with Ensemble of Parameters for Multi-Modal optimization, Swarm Evolutionary and Memetic Computing, Vol. 1, No. 1, pp. 19--28, December, 2010.

Erfu Yang, Ahmet T. Erdogan, Tughrul Arslan and Nick H. Barton. Multi-objective Evolutionary Optimizations of a Space-based Reconfigurable Sensor Network Under Hard Constraints, Soft Computing, Vol. 15, No. 1, pp. 25--36, January, 2011.

Nien-Che Yang and Tsai-Hsiang Chen. Dual Genetic Algorithm-Based Approach to Fast Screening Process for Distributed-Generation Interconnections, IEEE Transactions on Poper Delivery, Vol. 26, No. 2, pp. 850--858, April, 2011.

Xixiang Yang and Weihua Zhang. An Improved Multi-Objective Particle Swarm Optimization, Advanced Science Letters, Vol. 4, Nos. 4-5, pp. 1491--1495, April-May, 2011.

Dongdong Yang, Licheng Jiao, Maoguo Gong and Fang Liu. Artificial immune multi-objective SAR image segmentation with fused complementary features, Information Sciences, Vol. 181, No. 13, pp. 2797--2812, July 1, 2011.

I-Tung Yang and Jui-Sheng Chou. Multiobjective optimization for manpower assignment in consulting engineering firms, Applied Soft Computing, Vol. 11, No. 1, pp. 1183--1190, January 2011.

Xin-She Yang. Bat algorithm for multi-objective optimisation, International Journal of Bio-Inspired Computation , Vol. 3, No. 5, pp. 267--274, 2011.

Xue-Song Yang, Bing-Zhong Wang, Sai Ho Yeung, Quan Xue and Kim Fung Man. Circularly Polarized Reconfigurable Crossed-Vagi Patch Antenna, IEEE Antennas and Propagation Magazine, Vol. 53, No. 5, pp. 65--80, October 2011.

Wen-an Yang, Yu Guo and Wenhe Liao. Economic and statistical design of (X)over-bar and S control charts using an improved multi-objective particle swarm optimisation algorithm, International Journal of Production Research, Vol. 50, No. 1, pp. 97--117, 2012.

I-Tung Yang, Yo-Ming Hsieh and Li-Ou Kung. Parallel Computing Platform for Multiobjective Simulation Optimization of Bridge Maintenance Planning, Journal of Construction Engineering and Management-ASCE, Vol. 138, No. 2, pp. 215--226, February 2012.

Yun Yang, Jianfeng Wu, Xiaomin Sun, Jin Lin and Jichun Wu. A Hybrid Multi-Objective Evolutionary Algorithm for Optimal Groundwater Management under Variable Density Conditions, Acta Geologica Sinica-English Edition, Vol. 86, No. 1, pp. 246--255, February 2012.

Xin-She Yang. Multiobjective firefly algorithm for continuous optimization, Engineering with Computers, Vol. 29, No. 2, pp. 175--184, April 2013.

Xin-She Yang and Suash Deb. Multiobjective cuckoo search for design optimization, Computers & Operations Research, Vol. 40, No. 6, pp. 1616--1624, June 2013.

Yun Yang, Jianfeng Wu, Xiaomin Sun, Jichun Wu and Chunmiao Zheng. A niched Pareto tabu search for multi-objective optimal design of groundwater remediation systems, Journal of Hydrology, Vol. 490, pp. 56--73, May 20, 2013.

Lei Yang, Jochen Deuse and Pingyu Jiang. Multi-objective optimization of facility planning for energy intensive companies, Journal of Intelligent Manufacturing, Vol. 24, No. 6, pp. 1095--1109, December 2013.

Shengxiang Yang, Miqing Li, Xiaohui Liu and Jinhua Zheng. A Grid-Based Evolutionary Algorithm for Many-Objective Optimization, IEEE Transactions on Evolutionary Computation, Vol. 17, No. 5, pp. 721--736, October 2013.

Xin-She Yang, Mehmet Karamanoglu and Xingshi He. Multi-objective Flower Algorithm for Optimization, in V. Alexandrov, M. Lees, V. Krzhizhanovskaya, J. Dongarra and P. M. A. Sloot (editors), 2013 International Conference on Computational Science, pp. 861--868, Elsevier Science BV, Barcelona, Spain, June 05-07, 2013.

Xin-She Yang, Mehmet Karamanoglu and Xingshi He. Flower pollination algorithm: A novel approach for multiobjective optimization, Engineering Optimization, Vol. 46, No. 9, pp. 1222--1237, September 2, 2014.

Peng Yang, Ke Tang and Jose A. Lozano. Estimation of Distribution Algorithms based Unmanned Aerial Vehicle Path Planner Using a New Coordinate System, in 2014 IEEE Congress on Evolutionary Computation (CEC'2014), pp. 1469--1476, IEEE Press, Beijing, China, 6-11 July 2014, ISBN 978-1-4799-1488-3.

Yuzhen Yang and Xingsheng Gu. Cultural-Based Genetic Tabu Algorithm for Multiobjective Job Shop Scheduling, Mathematical Problems in Engineering, Article Number: 230719, 2014.

Kaifeng Yang, Michael T. M. Emmerich, Rui Li, Ji Wang and Thomas Bäck. Power Distribution Network Reconfiguration by Evolutionary Integer Programming, in Thomas Bartz-Beielstein, Jürgen Branke, Bogdan Filipic and Jim Smith (editors), Parallel Problem Solving from Nature – PPSN XIII, 13th International Conference, pp. 11--23, Springer. Lecture Notes in Computer Science Vol. 8672, Ljubljana, Slovenia, September 13-17, 2014.

Dongdong Yang, Licheng Jiao, Ruican Niu and Maoguo Gong. Investigation Of Combinational Clustering Indices In Artificial Immune Multi-Objective Clustering, Computational Intelligence, Vol. 30, No. 1, pp. 115--144, February 2014.

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Yang Zheng and Peter I. Rockett. Feature Extraction Using Multi-Objective Genetic Programming, in Yaochu Jin (Editor), Multi-Objective Machine Learning, pp. 75--99, Springer. Studies in Computational Intelligence, Volume 16, Berlin, 2006.

Min Zhang, Huantong Geng, Wenjian Luo, Linfeng Huang and Xufa Wang. A hybrid of differential evolution and genetic algorithm for constrained multiobjective optimization problems, in Tzai-Der Wang, Xiaodong Li, Shu-Heng Chen, Xufa Wang, Hussein Abbass, Hitoshi Iba, Guoliang Cheng and Xin Yao (editors), Simulated Evolution and Learning, 6th International Conference, SEAL 2006, pp. 318--327, Springer, Lecture Notes in Computer Science Vol. 4247, Hefei, China, October 2006.

L. B. Zhang, C. G. Zhou, X. L. Xu, C. T. Sun and M. Liu. Multi-Objective Evolutionary Algorithm Based on Max-Min Distance Density, in International Conference on Computational Intelligence and Security (ICCIS'2006), pp. 312--315, IEEE Press, New York, 2006.

Zhuhong Zhang. Immune optimization algorithm for constrained nonlinear multiobjective optimization problems, Applied Soft Computing, Vol. 7, No. 3, pp. 840--857, June 2007.

Yuanyuan Zhang, Mark Harman and S. Afshin Mansouri. The Multi-Objective Next Release Problem, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 1129--1136, Vol. 1, ACM Press, London, UK, July 2007.

Qingfu Zhang and Hui Li. MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition, IEEE Transactions on Evolutionary Computation, Vol. 11, No. 6, pp. 712--731, December 2007.

Qian Zhang and Mahdi Mahfouf. A New Reduced Space Searching Algorithm (RSSA) and Its Application in Optimal Design of Alloy Steels. In 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 1815-1822, IEEE Press, Singapore, September 2007.

Jun Zhang, De-Shuang Huang and Kun-Hong Liu. Multi-Sub-Swarm Particle Swarm Optimization Algorithm for Multimodal Function Optimization, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 3215--3220, IEEE Press, Singapore, September 2007.

Yifeng Zhang and Kai-Yew Lum. Integrated-Optimal Design of Airplane and Flight Control Using Genetic Algorithms, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 2980--2987, IEEE Press, Singapore, September 2007.

Yang Zhang and Peter Rockett. A Comparison of three evolutionary strategies for multiobjective genetic programming, Artificial Intelligence Review, Vol. 27, No. 2-3, pp. 149--163, March 2007.

Zhuhong Zhang and Xin Tu. Probabilistic dominance-based multi-objective immune optimization algorithm in noisy environments, Journal of Computational and Theoretical Nanoscience, Vol. 4, No. 7-8, pp. 1380--1387, November-December, 2007.

Yang Zhang and Peter I Rockett. Multiobjective Genetic Programming Feature Extraction with Optimized Dimensionality. in Janusz Kacprzyk, (editor), Soft Computing in Industrial Applications, chapter 15, pp. 159--168, Springer. Advances in Soft Computing, Vol. 39, Berlin, 2007.

Lin Zhang and Yijia Cao. Application of MOEPPSO algorithm to coordinate multiple TCSC controllers in power system, in 2007 IEEE Power Engineering Society General Meeting, Vols 1-10, pp. 3380--3384, IEEE, Tampa, Fl, June 24, 2007, ISBN 978-1-4244-1296-9.

Bin Zhang, Yjaohua Zhang, Licheng Jiao and Pu Yang. Immune system multiobjective optimization algorithm, in S. Zeng, Y. Liu, Q. Zhang and L. Kang (editors), Progress in Intelligence Computation and Applications. Second International Symposium on Intelligence Computation and Application (ISICA 2007), pp. 128--131, China University of Geosciences Press, Wuhan, China, September 21-23, 2007, ISBN 978-7-5625-2204-1.

Qingfu Zhang, Aimin Zhou and Yaochu Jin. RM-MEDA: A Regularity Model-Based Multiobjective Estimation of Distribution Algorithm, IEEE Transactions on Evolutionary Computation, Vol. 12, No. 1, pp. 41--63, February 2008.

Xingdong Zhang and Marc P. Armstrong. Genetic algorithms and the corridor location problem: multiple objectives and alternative solutions, Environment and Planning B--Planning & Design, Vol. 35, No. 1, pp. 148--168, January 2008.

Zhuhong Zhang. Multiobjective optimization immune algorithm in dynamic environments and its application to greenhouse control, Applied Soft Computing, Vol. 8, No. 2, pp. 959--971, March 2008.

Yang Zhang, Hong, Yu Li, Mahesan Niranjan and Peter Rockett. Applying Cost-Sensitive Multiobjective Genetic Programming to Feature Extraction for Spam E-mail Filtering, in Michael O'Neill, Leonardo Vanneschi, Steven Gustafson, Anna Isabel Esparcia Alcázar, Ivanoe De Falco, Antonio Della Cioppa and Ernesto Tarantino (editors), Genetic Programming, 11th European Conference, EuroGP 2008, pp. 325-336, Springer, Lecture Notes in Computer Science Vol. 4971, Naples, Italy, March 2008.

Jingqiao Zhang. Parameter Adaptive Differential Evolution for Multi-Modal Function Optimization, PhD thesis, Rensselaer Polytechnic Institute, Troy, New York, USA, August 2008 (abstract).

Jingqiao Zhang and Arthur C. Sanderson. Self-Adaptive Multi-Objective Differential Evolution with Direction Information Provided by Archived Inferior Solutions, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 2806--2815, IEEE Service Center, Hong Kong, June 2008.

Min Zhang, Wenjian Luo, Xingxin Pei and Xufa Wang. The Self-Adaption Strategy for Parameter ε in ε-MOEA, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 2945--2952, IEEE Service Center, Hong Kong, June 2008.

X. Zhang, R. Srinivasan and M. Van Liew. Multi-site Calibration of the SWAT Model for Hydrologic Modeling, Transactions of the ASABE, Vol. 51, No. 6, pp. 2039--2049, November-December 2008.

Wen Zhang and Yutian Liu. Multi-objective reactive power and voltage control based on fuzzy optimization strategy and fuzzy adaptive particle swarm, International Journal of Electrical Power & Energy Systems, Vol. 30, No. 9, pp. 525-532, November 2008.

Xuesong Zhang. Evaluating and Developing Parameter Optimization and Uncertainty Analysis Methods for a Computationally Intensive Distributed Hydrological Model, PhD thesis, Texas A&M University, USA, August 2008 (abstract).

Taohong Zhang, Linxin Li, Fujun Liang and Bingru Yang. Parameter optimization of laser die-surface hardening using the particle swarm optimization technique, International Journal of Aavanced Manufacturing Technology, Vol. 36, No. 11 - 12, pp. 1104--1112, April, 2008.

L. Zhang, X. Y. Shao, L. Gao and W. Tao. The parameter selection system of vehicle overall design based on cooperation and specialty, in Z.Y. Shen, M.N. James, W.D. Li and Y.X. Zhao (editors), Materials and Product Technologies, pp. 261--266, Trans Tech Publications LTD, Chengdu, China, August 4-6, 2008, ISBN 978-0-87849-376-0.

Lili Zhang and Wenhua Zeng. Research on Performance Measures of Multi-objective Optimization Evolutionary Algorithms, in S. Li, T. Li and D. Ruan (editors), 2008 3rd International Conference on Intelligent System and Knowledge Engineering, Vols 1 and 2, pp. 502--507, IEEE, Xiamen, China, November 17-19, 2008, ISBN 978-1-4244-2196-1.

Yang Zhang and Peter I. Rockett. A Generic Multi-dimensional Feature Extraction Method Using Multiobjective Genetic Programming, Evolutionary Computation, Vol. 17, No. 1, pp. 89--115, Spring 2009.

Qingfu Zhang, Wudong Liu and Hui Li. The Performance of a New Version of MOEA/D on CEC09 Unconstrained MOP Test Instances, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 203--208, IEEE Press, Trondheim, Norway, May 2009.

Mingming Zhang, Shuguang Zhao and Xu Wang. Multi-Objective Evolutionary Algorithm Based on Adaptive Discrete Differential Evolution, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 614--621, IEEE Press, Trondheim, Norway, May 2009.

Q. Zhang, H. Manier and M.-A. Manier. A General Model for Job Shop Problems Using Imune-Genetic Algorithm and Multiobjective Optimization Techniques, in 6th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2009), pp. 390--393, INSTICC, Milan, Italy, July 2009.

Guohui Zhang, Xinyu Shao, Peigen Li and Liang Gao. An effective hybrid particle swarm optimization algorithm for multi-objective flexible job-shop schedulling problem, Computers & Industrial Engineering, Vol. 56, No. 4, pp. 1309-1318, May 2009.

Qian Zhang and Mahdi Mahfouf. A Modified PSO with a Dynamically Varying Population and Its Application to the Multi-Objective Optimal Design of Alloy Steels, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 3241--3248, IEEE Press, Trondheim, Norway, May, 2009.

Zhuhong Zhang and Shuqu Qian. Multi-Objective Immune Optimization in Dynamic Environments and Its Application to Signal Simulation, in 2009 International Conference on Measuring Technology and Mechatronics Automation (ICMTMA'09), pp. 246--250, IEEE Computer Society, Zhangjiajie, Hunan, China, April, 2009.

Yang Zhang and Peter I. Rockett. Application of Multiobjective Genetic Programming to the Design of Robot Failure Recognition Systems, IEEE Transactions on Automation Science and Engineering, Vol. 6, No. 2, pp. 372--376, April 2009.

Chengbin Zhang, Yongping Chen, Mingheng Shi and G.P. Peterson. Optimization of heat pipe with axial "Omega"-shaped micro grooves based on a niched Pareto genetic algorithm (NPGA), Applied Thermal Engineering, Vol. 29, No. 16, pp. 3340--3345, November 2009.

Jingqiao Zhang and Arthur C. Sanderson. Adaptive Differential Evolution. A Robust Approach to Multimodal Problem Optimization, Springer, 2009, ISBN 978-3-642-01526-7.

Yudong Zhang, Yan Jun, Geng Wei and Lenan Wu. Find multi-objective paths in stochastic networks via chaotic immune PSO, Expert Systems with Applications, Vol. 37, No. 3, pp. 1911--1919, March 15, 2010.

Wenqiang Zhang and Mitsuo Gen. Process Planning and Scheduling in Distributed Manufacturing System Using Multiobjective Genetic Algorithm, IEEJ Transactions on Electrical and Electronic Engineering, Vol. 5, No. 1, pp. 62--72, January, 2010.

Xuesong Zhang, Raghvan Srinivasan and Michael Van Liew. On the use of multi-algorithm, genetically adaptive multi-objective method for multi-site calibration of the SWAT model, Hydrological Processes, Vol. 24, No. 8, pp. 955--969, April 15, 2010.

Qingfu Zhang, Wudong Liu, Edward Tsang and Botond Virginas. Expensive Multiobjective Optimization by MOEA/D with Gaussian Process Model, IEEE Transactions on Evolutionary Computation, Vol. 14, No. 3, pp. 456-474, June 2010.

Qian Zhang and Mandi Mahfouf. A nature-inspired multi-objective optimisation strategy based on a new reduced space searching algorithm for the design of alloy steels, Engineering Applications of Artificial Intelligence, Vol. 23, No. 5, pp. 660--675, August, 2010.

X. Zhang, R. C. Izaurralde, D. Manowitz, T. O. West, W. M. Post, A. M. Thomson, V. P. Bandaruw, J. Nichols and J. R. Williams. An integrative modeling framework to evaluate the productivity and sustainability of biofuel crop production systems, Global Change Biology Bioenergy, Vol. 2, No. 5, pp. 258--277, October, 2010.

Hong Zhang and Feng Xing. Fuzzy-multi-objective particle swarm optimization for time-cost-quality tradeoff in construction, Automation in Construction, Vol. 19, No. 8, pp. 1067--1075, December, 2010.

Qingfu Zhang, Hui Li, Dietmar Maringer and Edward Tsang. MOEA/D with NBI-style Tchebycheff approach for portfolio management, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 3308--3315, IEEE Press, Barcelona, Spain, July 18--23, 2010.

Lingxuan Zhang, Zhenyuan Jia, Fuji Wang and Wei Liu. A hybrid model using supporting vector machine and multi-objective genetic algorithm for processing parameters optimization in micro-EDM, International Journal of Advanced Manufacturing Technology, Vol. 51, No. 5-8, pp. 575--586, November 2010.

Huan Zhang, Hong-wei Zhang and Shao-jie Qiao . Calculation of Optimal Fuzzy Equivalent Matrix Using Multi-Objective Evolutionary Algorithms, in EBM 2010: International Conference on Engineering and Business Management, Vols 1-8, pp. 5173--5176, Sci Res Publ, Chengdu, China, March 25-27, 2010, ISBN 978-1-935068-05-1.

Yong Zhang, Xiao-bei Wu, Zong-yi Xing and Wei-Li Hu. On generating interpretable and precise fuzzy systems based on Pareto multi-objective cooperative co-evolutionary algorithm, Applied Soft Computing, Vol. 11, No. 1, pp. 1284-1294, January, 2011.

Yang Zhang and Peter I. Rockett. A generic optimising feature extraction method using multiobjective genetic programming, Applied Soft Computing, Vol. 11, No. 1, pp. 1087-1097, January, 2011.

Wenqiang Zhang and Mitsuo Gen. An efficient multiobjective genetic algorithm for mixed-model assembly line balancing problem considering demand ratio-based cycle time, Journal of Intelligent Manufacturing, Vol. 22, No. 3, pp. 367--378, January, 2011.

Qian Zhang and Mahdi Mahfouf. A Hierarchical Mamdani-Type Fuzzy Modelling Approach With New Training Data Selection and Multi-Objective Optimisation Mechanisms: A Special Application for the Prediction of Mechanical Properties of Alloy Steels, Applied Soft Computing, Vol. 11, No. 2, pp. 2419--2443, March, 2011.

Yuanyuan Zhang, Mark Harman, Anthony Finkelstein and S. Afshin Mansouri. Comparing the performance of metaheuristics for the analysis of multi-stakeholder tradeoffs in requirements optimisation, Information and Software Technology, Vol. 53, No. 7, pp. 761--773, July, 2011.

Zhuhong Zhang and Shuqu Qian. Artificial immune system in dynamic environments solving time-varying non-linear constrained multi-objective problems, Soft Computing, Vol. 15, No. 7, pp. 1333--1349, July 2011.

Chi Zhang, Jose Emmanuel Ramirez-Marquez and Claudio M. Sanseverino. A holistic method for reliability performance assessment and critical components detection in complex networks, IIE Transactions, Vol. 43, No. 9, pp. 661--675, 2011.

Xuesong Zhang, Raghavan Srinivasan, Jeff Arnold, R. Cesar Izaurralde and David Bosch. Simultaneous calibration of surface flow and baseflow simulations: a revisit of the SWAT model calibration framework, Hydrological Processes, Vol. 25, No. 14, pp. 2313--2320, July 1, 2011.

Yong Zhang, Dun-wei Gong and Zhong-hai Ding. Handling multi-objective optimization problems with a multi-swarm cooperative particle swarm optimizer, Expert Systems with Applications, Vol. 38, No. 11, pp. 13933--13941, October 2011.

Qian Zhang, Mahdi Mahfouf, John R. Yates, Christophe Pinna, George Panoutsos, Soufiene Boumaiza, Richard J. Greene and Luis de Leon. Modeling and Optimal Design of Machining-Induced Residual Stresses in Aluminium Alloys Using a Fast Hierarchical Multiobjective Optimization Algorithm, Materials and Manufacturing Processes, Vol. 26, No. 3, pp. 508--520, 2011.

Jinya Zhang, Hongwu Zhu, Chun Yang, Yan Li and Huan Wei. Multi-objective shape optimization of helico-axial multiphase pump impeller based on NSGA-II and ANN, Energy Conversion and Management, Vol. 52, No. 1, pp. 538--546, January 2011.

Xiaoli Zhang and Carl A. Nelson. Multiple-Criteria Kinematic Optimization for the Design of Spherical Serial Mechanisms Using Genetic Algorithms, Journal of Mechanical Design, Vol. 133, No. 1, Article Number 011005, January 2011.

Deng Zhang, Shingo Mabu and Kotaro Hirasawa. Image Denoising Using Pulse Coupled Neural Network with an Adaptive Pareto Genetic Algorithm, IEEJ Transactions on Electrical and Electronic Engineering, Vol. 6, No. 5, pp. 474--482, September 2011.

Yongguo Zhang, Yayi Xu, Mingfa Zheng and Liu Ningning. The Properties of Birandom Multiobjective Programming Problems, in Ying Tan, Yuhui Shi, Yi Chai and Guoyin Wang (editors), Advances in Swarm Intelligence, Second International Conference, ICSI 2011, pp. 34--40, Springer. Lecture Notes in Computer Science Vol. 6729, Chongqing, China, June 12-15, 2011.

Qian Zhang, Mahdi Mahfouf, George Panoutsos, Kathryn Beamish and Ian Norris. Multiple Characterisation Modelling of Friction Stir Welding Using a Genetic Multi-objective Data-driven Fuzzy Modelling Approach, in 2011 IEEE International Conference on Fuzzy Systems (FUZZ 2011), pp. 2288--2295, IEEE Press, Taipei, Taiwan, June 27-30, 2011, ISBN 978-1-4244-7317-5.

Tao Zhang, W.A. Chaovalitwongse and Yuejie Zhang. Scatter search for the stochastic travel-time vehicle routing problem with simultaneous pick-ups and deliveries, Computers & Operations Research, Vol. 39, No. 10, pp. 2277--2290, October 2012.

Yong Zhang, Guangyong Sun, Guangyao Li, Zhen Luo and Qing Li. Optimization of foam-filled bitubal structures for crashworthiness criteria, Materials & Design, Vol. 38, pp. 99--109, June 2012.

Yong Zhang, Dun-Wei Gong and Zhonghai Ding. A bare-bones multi-objective particle swarm optimization algorithm for environmental/economic dispatch, Information Sciences, Vol. 192, pp. 213--227, June 1, 2012.

Dan Zhang and Zhen Gao. Forward kinematics, performance analysis, and multi-objective optimization of a bio-inspired parallel manipulator, Robotics and Computer-Intregrated Manufacturing, Vol. 28, No. 4, pp. 484--492, August 2012.

Wenqiang Zhang and Shigeru Fujimura. Multiobjective process planning and scheduling using improved vector evaluated genetic algorithm with archive, IEEJ Transactions on Electrical and Electronic Engineering, Vol. 7, No. 3, pp. 258--267, May 2012.

Bixia Zhang, Huaxi Gu, Sulei Tian and Bin Li. A Multi-objective Mapping Strategy for Application Specific Emesh Network-on-Chip (NoC), in Ying Tan, Yuhui Shi and Zhen Ji (editors), Advances in Swarm Intelligence, Third International Conference, ICSI 2012, pp. 528--536, Springer. Lecture Notes in Computer Science Vol. 7331, Shenzhen, China, June 17-20, 2012.

Hao Zhang, Yunlong Zhu, Wenping Zou and Xiaohui Yan. A hybrid multi-objective artificial bee colony algorithm for burdening optimization of copper strip production, Applied Mathematical Modelling, Vol. 36, No. 6, pp. 2578--2591, June 2012.

Tao Zhang and Tiesong Hu and Yue Zheng and Xuning Guo. An Improved Particle Swarm Optimization for Solving Bilevel Multiobjective Programming Problem, Journal of Applied Mathematics, Article Number: 626717, 2012.

Hao Zhang, Yunlong Zhu and Xiaohui Yan. Multi-hive artificial bee colony algorithm for constrained multi-objective optimization, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 1248--1275, IEEE Press, Brisbane, Australia, June 10-15, 2012.

Guangrui Zhang, Mahdi Mahfouf, George Panoutsos and Shen Wang. A multi-objective particle swarm optimization algorithm with a dynamic hypercube archive, mutation and population competition, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 1173--1179, IEEE Press, Brisbane, Australia, June 10-15, 2012.

Bin Zhang, Kamran Shafi and Hussein A. Abbass. A Density Based Approach to the Access Point Layout Smart Distribution Grid Design Optimization Problem, in Lam Thu Bui, Yew Soon Ong, Nguyen Xuan Hoai, Hisao Ishibuchi and Ponnuthurai Nagaratnam Suganthan (editors), Simulated Evolution and Learning, 9th International Conference, SEAL 2012, pp. 73--82, Springer. Lecture Notes in Computer Science Vol. 7673, Hanoi, Vietnam, December 16-19, 2012.

Rui Zhang, Jianzhong Zhou and Yongqiang Wang. Multi-objective optimization of hydrothermal energy system considering economic and environmental aspects, International Journal of Electrical Power & Energy Systems, Vol. 42, No. 1, pp. 384--395, November 2012.

Li Feng Zhang and Chen Xi Zhou. Self organized parallel genetic algorithm to automatically realize diversified convergence, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 2329--2337, IEEE Press, Brisbane, Australia, June 10-15, 2012.

Q. Zhang, M. Mahfouf, G. Panoutsos, K. Beamish and I. Norris. Knowledge discovery for friction stir welding via data driven approaches Part 2-multiobjective modelling using fuzzy rule based systems , Science and Technology of Welding and Joining, Vol. 17, No. 8, pp. 681--693, November 2012.

Tao Zhang, Tiesong Hu, Jia-wei Chen, Zhongping Wan and Xuning Guo. Solving Bilevel Multiobjective Programming Problem by Elite Quantum Behaved Particle Swarm Optimization, Abstract and Applied Analysis, Article Number: 102482, 2012.

Wenzhu Zhang, Kyung Sup Kwak and Chengxiao Feng. Network Selection Algorithm for Heterogeneous Wireless Networks Based on Multi-Objective Discrete Particle Swarm Optimization, KSII Transactions on Internet and Information Systems, Vol. 6, No. 7, pp. 1802--1814, July 25, 2012.

Wenqiang Zhang, Lin Lin, Mitsuo Gen and Chen-Fu Chien. Hybrid Sampling Strategy-based Multiobjective Evolutionary Algorithm, in C. H. Dagli (editor), Complex Adaptive Systems 2012, pp. 96--101, Elsevier Science BV, Washington, D. C., November 14-16, 2012.

Yong Zhang, Dun-wei Gong and Jian-hua Zhang. Robot path planning in uncertain environment using multi-objective particle swarm optimization, Neurocomputing, Vol. 103, pp. 172--185, March 1, 2013.

Huifeng Zhang, Jianzhong Zhou, Yongchuan Zhang, Youlin Lu and Yongqiang Wang. Culture belief based multi-objective hybrid differential evolutionary algorithm in short term hydrothermal scheduling, Energy Conversion and Management, Vol. 65, pp. 173--184, January 2013.

Yuanyuan Zhang, Mark Harman and Soo Ling Lim. Empirical evaluation of search based requirements interaction management, Information and Software Technology, Vol. 55, No. 1, pp. 126--152, January 2013.

Hao Zhang, Yunlong Zhu and Dingyi Zhang. Self-Adaptive Root Growth Model for Constrained Multi-Objective Optimization, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 2360--2367, IEEE Press, Cancún, México, 20-23 June, 2013, ISBN 978-1-4799-0454-9.

Tiantian Zhang, Michael Georgiopoulos and Georgios C. Anagnostopoulos. S-Race: A Multi-Objective Racing Algorithm, in 2013 Genetic and Evolutionary Computation Conference (GECCO'2013), pp. 1565--1572, ACM Press, New York, USA, July 6-10, 2013, ISBN 978-1-4503-1963-8.

Huifeng Zhang, Jianzhong Zhou, Na Fang, Rui Zhang and Yongchuan Zhang. Daily hydrothermal scheduling with economic emission using simulated annealing technique based multi-objective cultural differential evolution approach, Energy, Vol. 50, pp. 24--37, February 1, 2013.

Yue Zhang, Fei Tao, Yuanjun Laili, Baocun Hou, Lin Lv and Lin Zhang. Green partner selection in virtual enterprise based on Pareto genetic algorithms, International Journal of Advanced Manufacturing Technology, Vol. 67, No. 9-12, pp. 2109--2125, August 2013.

Tao Zhang, Tiesong Hu, Xuning Guo, Zhong Chen and Yue Zheng. Solving high dimensional bilevel multiobjective programming problem using a hybrid particle swarm optimization algorithm with crossover operator, Knowledge-Based System, Vol. 53, pp. 13--19, November 2013.

Liping Zhang, Liang Gao and Xinyu Li. A hybrid genetic algorithm and tabu search for a multi-objective dynamic job shop scheduling problem, International Journal of Production Research, Vol. 51, No. 12, pp. 3516--3531, June 1, 2013.

Yong Zhang, Dun-Wei Gong and Na Gong. Multi-Objective Optimization Problems Using Cooperative Evolvement Particle Swarm Optimizer, Journal of Computational and Theoretical Nanoscience, Vol. 10, No. 3, pp. 655--663, March 2013.

Rui Zhang, Jianzhong Zhou, Li Mo, Shuo Ouyang and Xiang Liao. Economic environmental dispatch using an enhanced multi-objective cultural algorithm, Electric Power Systems Research, Vol. 99, pp. 18--29, June 2013.

Jian-Qiu Zhang, Feng Xu and Xian-Wen Fang. Decomposition of Multi-Objective Evolutionary Algorithm based on Estimation of Distribution, Applied Mathematics & Information Sciences, Vol. 8, No. 1, pp. 249--254, January 2014.

Wenlong Zhang, Chao Wang, Yi Li, Peifang Wang, Qing Wang and Dawei Wang. Seeking Sustainability: Multiobjective Evolutionary Optimization for Urban Wastewater Reuse in China, Environmental Science & Technology, Vol. 48, No. 2, pp. 1094--1102, January 21, 2014.

Yuzhen Zhang, Guangming Dai, Lei Peng and Maocai Wang. HMOEDA_LLE: A Hybrid Multi-objective Estimation of Distribution Algorithm Combining Locally Linear Embedding, in 2014 IEEE Congress on Evolutionary Computation (CEC'2014), pp. 707--714, IEEE Press, Beijing, China, 6-11 July 2014, ISBN 978-1-4799-1488-3.

Hu Zhang, Shenmin Song, Aimin Zhou and Xiao-Zhi Gao. A Clustering Based Multiobjective Evolutionary Algorithm, in 2014 IEEE Congress on Evolutionary Computation (CEC'2014), pp. 723--730, IEEE Press, Beijing, China, 6-11 July 2014, ISBN 978-1-4799-1488-3.

Bin Zhang, Kamran Shafi and Hussein Abbass. Online Knowledge-based Evolutionary Multi-Objective Optimization, in 2014 IEEE Congress on Evolutionary Computation (CEC'2014), pp. 2222--2229, IEEE Press, Beijing, China, 6-11 July 2014, ISBN 978-1-4799-1488-3.

Wenqiang Zhang, Mitsuo Gen and Jungbok Jo. Hybrid sampling strategy-based multiobjective evolutionary algorithm for process planning and scheduling problem, Journal of Intelligent Manufacturing, Vol. 25, No. 5, pp. 881--897, October 2014.

Enze Zhang, Yifei Wu and Qingwei Chen. A practical approach for solving multi-objective reliability redundancy allocation problems using extended bare-bones particle swarm optimization, Reliability Engineering & System Safety, Vol. 127, pp. 65--76, July 2014.

Yong Zhang, Changhong Xia, Dunwei Gong and Xiaoyan Sun. Multi-objective PSO Algorithm for Feature Selection Problems with Unreliable Data, in Ying Tan, Yuhui Shi and Carlos A. Coello Coello (editors), Advances in Swarm Intelligence, 5th International Conference, ICSI 2014, pp. 386--393, Springer. Lecture Notes in Computer Science Vol. 8794, Hefei, China, October 17-20, 2014.

Yu Zhang, Sanbo Hu, Jinglai Wu, Yunqing Zhang and Liping Chen. Multi-objective optimization of double suction centrifugal pump using Kriging metamodels, Advances in Engineering Software, Vol. 16--26, pp. 16--26, August 2014.

Yue-Yu Zhang, Weiguo Gao, Shiyou Chen, Hongjun Xiang and Xin-Gao Gong. Inverse design of materials by multi-objective differential evolution, Computational Materials Science, Vol. 98, pp. 51--55, February 15, 2015.

Xiao Zhang, Yu Zhou, Qingfu Zhang, Victor C. S. Lee and Minming Li. Multi-objective Optimization of Barrier Coverage with Wireless Sensors, in António Gaspar-Cunha, Carlos Henggeler Antunes and Carlos Coello Coello (editors), Evolutionary Multi-Criterion Optimization, 8th International Conference, EMO 2015, pp. 557--572, Springer. Lecture Notes in Computer Science Vol. 9019, Guimarães, Portugal, March 29 - April 1, 2015.

CW Zhao and ZM Wu. A genetic algorithm for manufacturing cell formation with multiple routes and multiple objectives, International Journal of Production Research, Vol. 38, No. 2, pp. 385--395, January 20, 2000.

Yong Zhao, Carlos A. Brizuela and Nobuo Sannomiya. Application of the Partial Enumeration Selection Method in Genetic Algorithms to Solving a Multi-Objective Flowshop Problem, in 2001 IEEE International Conference on Systems, Man and Cybernetics, Vol. 4, pp. 2365--2370, 2001.

H. L. Zhao and T. T. Lee. Research on multiobjective optimization control for nonlinear unknown systems, in O. Nasaoui, H. Frigui and J. M. Keller (editors), Proceedings of the 12th IEEE International Conference on Fuzzy Systems, Vols 1 and 2, pp. 402--407, IEEE, St Louis, Mo, May 25-28, 2003, ISBN 0-7803-7810-5.

Shuguang Zhao, Licheng Jiao, Jianxun Zhao and Yuping Wang. Evolutionary Design of Analog Circuits with a Uniform-Design Based Multi-Objective Adaptive Genetic Algorithm, in Jason Lohn, David Gwaltney, Gregory Hornby, Ricardo Zebulum, Didier Keymeulen and Adrian Stoica (editors), 2005 NASA/DoD Conference on Evolvable Hardware, pp. 26--29, IEEE Computer Society Press, Los Alamitos, California, July 2005.

Shuguang Zhao, Jianxun Zhao and Licheng Jiao. Adaptive Genetic Algorithm Based Approach for Evolutionary Design and Multi-objective Optimization of Logic Circuits, in Jason Lohn, David Gwaltney, Gregory Hornby, Ricardo Zebulum, Didier Keymeulen and Adrian Stoica (editors), 2005 NASA/DoD Conference on Evolvable Hardware, pp. 67--72, IEEE Computer Society Press, Los Alamitos, California, July 2005.

Bo Zhao and Yi-jia Cao. Multiple objective particle swarm optimization technique for economic load dispatch, Journal of Zhejiang University SCIENCE, Vol. 6A, No. 5, pp. 420--427, 2005.

F.Q. Zhao, Q.Y. Zhang, D.M. Yu, X.H. Chen and Y.H. Yang. A hybrid algorithm based on PSO and simulated annealing and its applications for partner selection in virtual enterprise, in Advances in Intelligent Computing, Pt 1, Proceedings, Springer, pp. 380--389, Lecture Notes in Computer Science Vol. 3644, 2005.

Shuguang Zhao, Licheng Jiao and Jun Zhao. Multi-objective Evolutionary Design and Knowledge Discovery of Logic Circuits with an Improved Genetic Algorithm, in Yue Hao et al. (editors), Computational Intelligence and Security.International Conference, CIS 2005, pp. 273--278, Springer, Lecture Notes in Artificial Intelligence Vol. 3801, Xi'an, China, December 2005.

Shuguang Zhao and Licheng Jiao. Multi-objective evolutionary design and knowledge discovery of logic circuits on an adaptive genetic algorithm, Genetic Programming and Evolvable Machines, Vol. 7, No. 3, pp. 195--210, October 2006.

Shuguang Zhao, Xinquan Lai and Mingying Zhao. A Uniform-Design Based Multi-objective Adaptive Genetic Algorithm and Its Application to Automated Design of Electronic Circuits, in Licheng Jiao, Lipo Wang, Xinbo Gao, Jing Liu and Feng Wu (editors), 2006 Second International Conference on Advances in Natural Computation (ICNC 2006), pp. 653--656, Springer. Lecture Notes in Computer Science, Vol. 4221, Xi'an, China, 2006. ISBN 3-540-45901-4.

Huimin Zhao. A multi-objective genetic programming approach to developing Pareto optimal decision trees, Decision Support Systems, Vol. 43, No. 3, pp. 809--826, April 2007.

Yongxiang Zhao, Shengwu Xiong and Meifang Li. Constrained Single- and Multiple-Objective Optimization with Differential Evolution, in Third International Conference on Natural Computation (ICNC 2007), pp. 451--455, IEEE Computer Society, Haikou, Hainan, China, August 24-27, 2007.

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Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff and Edward Tseng. Modelling the Population Distribution in Multi-objective Optimization by Generative Topographic Mapping, in Thomas Philip Runarsson, Hans-Georg Beyer, Edmund Burke, Juan J. Merelo-Guervós, L. Darrell Whitley and Xin Yao (editors), Parallel Problem Solving from Nature - PPSN IX, 9th International Conference, pp. 443--452, Springer. Lecture Notes in Computer Science Vol. 4193, Reykjavik, Iceland, September 2006.

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Aimin Zhou, Yaochu Jin, Qingfu Zhang, Bernhard Sendhoff and Edward Tsang. Combining Model-based and Genetic-based Offspring Generation for Multi-objective Optimization Using a Convergence Criterion, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 3234--3241, IEEE, Vancouver, BC, Canada, July 2006.

J. Zhou, L.-S. Turng and A. Kramschuster. Single and multi objective optimization for injection molding using numerical simulation with surrogate models and genetic algorithms, International Polymer Processing, Vol. 21, No. 5, pp. 509--520, November 2006.

Yuren Zhou and Jun He. Convergence analysis of a self-adaptive multi-objective evolutionary algorithm based on grids, Information Processing Letters, Vol. 104, No. 4, pp. 117--122, November 15, 2007.

Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff and Edward Tsang. Global Multiobjective Optimization via Estimation of Distribution Algorithm with Biased Initialization and Crossover, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 617--622, Vol. 1, ACM Press, London, UK, July 2007.

Aimin Zhou, Yaochu Jin, Qingfu Zhang, Bernhard Sendhoff and Edward Tsang. Prediction-Based Population Re-initialization for Evolutionary Dynamic Multi-objective Optimization, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 832--846, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.

Aimin Zhou, Qingfu Zhang, Yaochu Jin and Bernhard Sendhoff. Adaptive Modelling Strategy for Continuous Multi-Objective Optimization, 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 431--437, IEEE Press, Singapore, September 2007.

Shihua Zhou, Qiang Zhang, Jing Zhao and Jinsong Li. DNA encodings based on multi-objective particle swarm, Journal of Computational and Theoretical Nanoscience, Vol. 4, No. 7-8, pp. 1249-1252, November-December 2007.

Jian Zhou and Lih-Sheng Turng. Adaptive multiobjective optimization of process conditions for injection molding using a Gaussian process approach, Advances in Polymer Technology, Vol. 26, No. 2, pp. 71--85, Summer 2007.

Aimin Zhou, Qingfu Zhang, Yaochu Jin and Bernhard Sendhoff. Combination of EDA and DE for Continuous Biobjective Optimization, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 1447--1454, IEEE Service Center, Hong Kong, June 2008.

Xiuling Zhou, Ning Mao, Chengyi Sun and Wenjuan Li. An Improved CHSO Algorithm for Multi-Objective Optimization Problem, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 1769--1776, IEEE Service Center, Hong Kong, June 2008.

Zuan Zhou, Guangming Dai, Pan Fang, Fangjie Chen and Yi Tan. An Improved Hybrid Multi-objective Particle Swarm Optimization Algorithm, in Lishan Kang, Zhihua Cai, Xuesong Yan and Yong Liu (editors), Advances in Computation and Intelligence, Third International Symposium, ISICA 2008, pp. 181--188, Springer. Lecture Notes in Computer Science Vol. 5370, Wuhan, China, December 19-21, 2008.

Xia Zhou, Jiong Shen and Jianxian Shen. An Immune Recognition Based Algorithm for Finding Non-dominated Set in Multi-objective Optimization, in Y. Zhang, H. Tan and Q. Luo (editors), PACIIA: 2008 Pacific-Asia Workshop on Computational Intelligence and Industrial Application, pp. 291--296, IEEE Computer Society Press, Wuhan, China, December 19-20, 2008, ISBN 978-1-4244-4204-1.

Chang-Chun Zhou, Guo-Fu Yin and Xiao-Bing. Multi-objective optimization of material selection for sustainable products: Artificial neural networks and genetic algorithm approach, Materials & Design, Vol. 30, No. 4, pp. 1209-1215, April 2009.

Aimin Zhou, Qingfu Zhang and Yaochu Jin. Approximating the Set of Pareto-Optimal Solutions in Both the Decision and Objective Spaces by an Estimation of Distribution Algorithm, IEEE Transactions on Evolutionary Computation, Vol. 13, No. 5, pp. 1167--1189, October 2009.

Hao Zhou, Ligang Zheng and Kefa Cen. Computational intelligence approach for NOx emissions minimization in a coal-fired utility boiler, Energy Conversion and Management, Vol. 51, No. 3, pp. 580--586, March, 2010.

Aimin Zhou, Bo-Yang Qu, Hui Li, Shi-Zheng Zhao, Ponnuthurai Nagaratnam Suganthan and Qingfu Zhang. Multiobjective evolutionary algorithms: A survey of the state of the art, Swarm and Evolutionary Computation, Vol. 1, No. 1, pp. 32--49, 2011.

Chi Zhou, Xuejun Zhang, Kaiquan Cai and Jun Zhang. Comprehensive Learning Multi-Objective Particle Swarm Optimizer for Crossing Waypoints Location in Air Route Network, Chinese Journal of Electronics, Vol. 20, No. 3, pp. 533--538, July 2011.

Xiuling Zhou, Ping Guo and C. L. Philip Chen. Speed Up Reliability Model Optimization with Hypervolume Contribution Calculating Algorithm, Intelligent Automation and Soft Computing, Vol. 17 , No. 5, pp. 619--629, 2011.

You Zhou and Ying Tan. GPU-Based Parallel Multi-objective Particle Swarm Optimization, International Journal of Artificial Intelligence, Vol. 7, No. A11, pp. 125--141, October 2011.

Aimin Zhou, Qingfu Zhang and Guixu Zhang. A multiobjective evolutionary algorithm based on decomposition and probability model, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 3151--3158, IEEE Press, Brisbane, Australia, June 10-15, 2012.

Aimin Zhou, Qingfu Zhang and Guixu Zhang. Approximation Model Guided Selection for Evolutionary Multiobjective Optimization, in Robin C. Purshouse, Peter J. Fleming, Carlos M. Fonseca, Salvatore Greco and Jane Shaw (editors), Evolutionary Multi-Criterion Optimization, 7th International Conference, EMO 2013, pp. 398--412, Springer. Lecture Notes in Computer Science Vol. 7811, Sheffield, UK, March 19-22, 2013.

B. Zhou, K. W. Chan, T. Yu and C. Y. Chung. Equilibrium-Inspired Multiple Group Search Optimization With Synergistic Learning for Multiobjective Electric Power Dispatch, IEEE Transactions on Power Systems, Vol. 28, No. 4, pp. 3534--3545, November 2013.

Bin Zhou, Ka Wing Chan, Tao Yu, Hua Wei and Jie Tang. Strength Pareto Multigroup Search Optimizer for Multiobjective Optimal Reactive Power Dispatch, IEEE Transactions on Industrial Informatics, Vol. 10, No. 2, pp. 1012--1022, May 2014.

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Hanhong Zhu, Yun Chen and Kesheng Wang. Swarm Intelligence Algorithms for Portfolio Optimization, in Ying Tan, Yuhui Shi and Kay Chen Tan (editors), Advances in Swarm Intelligence, First International Conference, ICSI 2010, pp. 306--313, Springer. Lecture Notes in Computer Science Vol. 6145, Beijing, China, June 12-15, 2010.

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Jie Zhu, Xin Cai, Pan Pan and Rongrong Gu. Multi-Objective Structural Optimization Design of Horizontal-Axis Wind Turbine Blades Using the Non-Dominated Sorting Genetic Algorithm II and Finite Element Method, Energies, Vol. 7, No. 2, pp. 988--1002, February 2014.

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Eckart Zitzler, Marco Laumanns, Lothar Thiele, Carlos M. Fonseca and Viviane Grunert da Fonseca. Why Quality Assessment of Multiobjective Optimizers Is Difficult, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 666--673, Morgan Kaufmann Publishers, San Francisco, California, July 2002.

Eckart Zitzler. Evolutionary Algorithms for Multiobjective Optimization, in Evolutionary Methods for Design, Optimisation and Control (EUROGEN 2001), pp. 19--26, CIMNE, 2002.

E. Zitzler, L. Thiele, M. Laumanns, C. M. Fonseca and V. Grunert da Fonseca. Performance Assessment of Multiobjective Optimizers: An Analysis and Review. Technical report 139, Computer Engineering and Networks Laboratory, ETH Zurich, June 2002.

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Eckart Zitzler, Marco Laumanns and Stefan Bleuler. A Tutorial on Evolutionary Multiobjective Optimization, in Xavier Gandibleux, Marc Sevaux, Kenneth Sörensen and Vincent T'kindt (editors), Metaheuristics for Multiobjective Optimisation, pp. 3--37, Springer. Lecture Notes in Economics and Mathematical Systems Vol. 535, Berlin, 2004.

Eckart Zitzler and Simon Künzli. Indicator-based Selection in Multiobjective Search, in Xin Yao et al. (editors), Parallel Problem Solving from Nature - PPSN VIII, Springer-Verlag, Lecture Notes in Computer Science, Vol. 3242, pp. 832--842, Birmingham, UK, September 2004.

Eckart Zitzler, Dimo Brockhoff and Lothar Thiele. The Hypervolume Indicator Revisited: On the Design of Pareto-compliant Indicator Via Weighted Integration, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 862--876, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.

Eckart Zitzler, Lothar Thiele and Johannes Bader. SPAM: Set Preference Algorithm for Multiobjective Optimization, in Günter Rudolph, Thomas Jansen, Simon Lucas, Carlo Poloni and Nicola Beume (editors), Parallel Problem Solving from Nature--PPSN X, pp. 847--858, Springer, Lecture Notes in Computer Science Vol. 5199, Dortmund, Germany, September 2008.

E. Zitzler, L. Thiele and J. Bader. On Set-Based Multiobjective Optimization. Technical report 300, Computer Engineering and Networks Laboratory, ETH Zurich, February 2008.

Eckart Zitzler, Joshua Knowles and Lothar Thiele. Quality Assessment of Pareto Set Approximations, in Jürgen Branke, Kalyanmoy Deb, Kaisa Miettinen and Roman Slowinski (editors), Multiobjective Optimization. Interactive and Evolutionary Approaches, pp. 373--404, Springer. Lecture Notes in Computer Science Vol. 5252, Berlin, Germany, 2008.

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