Publications 2018


Contents

Book Chapters

  1. Carlos A. Coello Coello, Raquel Hernández Gómez and Luis Miguel Antonio, Fundamentals of Evolutionary Optimization: Single- and Multiobjective Problems, in John G. Webster (Editor), Wiley Encyclopedia of Electrical and Electronics Engineering, John Wiley & Sons, Inc., New York, USA, May 2018, ISBN 978-0-471-134608-1.

  2. Juan M. Ramirez, Miguel A. Medina and Carlos A. Coello Coello, A multi-objective teaching-learning algorithm for power losses reduction in power systems, in Ahmed F. Zobaa, Shady H.E. Abdel Aleem and Almoataz Youssef Abdalaziz (editors), Classical and Recent Aspects of Power System Optimization, Chapter 18, pp. 505--542, Academic Press, London, UK, 2018, ISBN 978-0-12-812441-3.

  3. Carlos A. Coello Coello, Multiobjective Optimization, in Rafael Martí, Pardalos Panos and Mauricio G. C. Resende (editors), Handbook of Heuristics, Springer, Cham, Switzerland, 2018, ISBN 978-3-319-07153-4.





International Journals

  1. Qiuzhen Lin, Songbai Liu, Qinling Zhu, Chaoyu Tang, Ruizhen Song, Jianyong Chen, Carlos A. Coello Coello, Ka-Chun Wong and Jun Zhang, Particle Swarm Optimization with a Balanceable Fitness Estimation for Many-objective Optimization Problems, IEEE Transactions on Evolutionary Computation, Vol. 22, No. 1, pp. 32--46, February 2018.

  2. Qiuzhen Lin, Yueping Ma, Jianyong Chen, Qingling Zhu, Carlos A. Coello Coello, Ka-Chun Wong and Fei Chen, An Adaptive Immune-inspired Multi-objective Algorithm with Multiple Differential Evolution Strategies, Information Sciences, pp. 46--64, Vols. 430-431, March 2018.

  3. Alejandro Rosales-Pérez, Salvador García, Hugo Terashima-Marín, Carlos A. Coello Coello and Francisco Herrera, MC2ESVM: Multiclass Classification based on Cooperative Evolution of Support Vector Machines, IEEE Computational Intelligence Magazine, Vol. 13, No. 2, pp. 18--29, May 2018.

  4. Ivan Amaya, José C. Ortiz-Bayliss, Alejandro Rosales-Pérez, Andrés E. Gutiérrez-Rodríguez, Santiago E. Conant-Pablos, Hugo Terashima-Marín and Carlos A. Coello Coello, Enhancing Selection Hyper-heuristics via Feature Transformations, IEEE Computational Intelligence Magazine, Vol. 13, No. 2, pp. 30--41, May 2018.

  5. Stjepan Picek, Carlos A. Coello Coello, Domagoj Jakobovic and Nele Mentens, Finding Short and Implementation-friendly Addition Chains with Evolutionary Algorithms, Journal of Heuristics, Vol. 24, No. 3, pp. 457--481, June 2018.

  6. Qiuzhen Lin, Genmiao Jin, Yueping Ma, Ka-Chun Wong, Carlos A. Coello Coello, Jianqiang Li, Jianyong Chen and Jun Zhang, A Diversity-Enhanced Resource Allocation Strategy for Decomposition-based Multiobjective Evolutionary Algorithm, IEEE Transactions on Cybernetics, Vol. 48, No. 8, pp. 2388--2401, August 2018.

  7. Luis Miguel Antonio, José A. Molinet Berenguer and Carlos A. Coello Coello, Evolutionary Many-objective Optimization based on Linear Assignment Problem Transformations, Soft Computing, Vol. 22, No. 6, pp. 5491--5512, August 2018.

  8. Saber Elsayed, Ruhul Sarker, Carlos Coello Coello, Tapabrata Ray, Adaptation of Operators and Continuous Control Parameters in Differential Evolution for Constrained Optimization, Soft Computing, Vol. 22, No. 19, pp. 6595--6616, October 2018.

  9. Sumit Mishra, Samrat Modalb, Sriparna Saha and Carlos A. Coello Coello, GBOS: Generalized Best Order Sort Algorithm for Non-dominated Sorting, Swarm and Evolutionary Computation, Vol. 43, pp. 244--264, December 2018.

  10. Qiuzhen Lin, Xiaozhou Wang, Bishan Hu, Lijia Ma, Fei Chen, Li Jian-qiang and Carlos A. Coello Coello, Multi-objective Personalized Recommendation Algorithm using Extreme Point Guided Evolutionary Computation, Complexity, Volume 2018, Article ID 1716352, 2018.

  11. Luis Miguel Antonio and Carlos A. Coello Coello, Coevolutionary Multi-objective Evolutionary Algorithms: A Survey of the State-of-the-Art, IEEE Transactions on Evolutionary Computation, Vol. 22, No. 6, pp. 851--865, December 2018.





International Conferences

  1. Sumit Mishra and Carlos A. Coello Coello, P-ENS: Parallelism in Efficient Non-dominated Sorting, in 2018 IEEE Congress on Evolutionary Computation (CEC'2018), pp. 508--515, IEEE Press, Rio de Janeiro, Brazil, 8-13 July, 2018, ISBN 978-1-5090-6017-7.

  2. Miriam Pescador-Rojas and Carlos A. Coello Coello, Collaborative and Adaptive Strategies of Different Scalarizing Functions in MOEA/D, in 2018 IEEE Congress on Evolutionary Computation (CEC'2018), pp. 709--716, IEEE Press, Rio de Janeiro, Brazil, 8-13 July, 2018, ISBN 978-1-5090-6017-7.

  3. Alejandro Rosales-Pérez, Andres E. Gutierrez-Rodríguez, Salvador García, Hugo Terashima-Marín, Carlos A. Coello Coello and Francisco Herrera, Cooperative Multi-Objective Evolutionary Support Vector Machines for Multiclass Problems, in 2018 Genetic and Evolutionary Computation Conference (GECCO'2018), pp. 513--520, ACM Press, Kyoto, Japan, 15-19 July, 2018, ISBN 978-1-4503-5618-3.

  4. Jesús Guillermo Falcón-Cardona and Carlos A. Coello Coello, Multi-Objective Evolutionary Hyper-heuristic based on Multiple Indicator-based Density Estimators, in 2018 Genetic and Evolutionary Computation Conference (GECCO'2018), pp. 633--640, ACM Press, Kyoto, Japan, 15-19 July, 2018, ISBN 978-1-4503-5618-3.

  5. Edgar Manoatl Lopez and Carlos A. Coello Coello, An Improved Version of a Reference-Based Multi-Objective Evolutionary Algorithm based on IGD+, in 2018 Genetic and Evolutionary Computation Conference (GECCO'2018), pp. 713--720, ACM Press, Kyoto, Japan, 15-19 July, 2018, ISBN 978-1-4503-5618-3.

  6. Miriam Pescador-Rojas and Carlos A. Coello Coello, Studying the Effect of Techniques to Generate Reference Vectors in Many-objective Optimization, in GECCO'18: Proceedings of the Genetic and Evolutionary Computation Conference Companion, pp. 193--194, ACM Press, Kyoto, Japan, 15-19 July, 2018, ISBN 978-1-4503-5764-7.

  7. Edgar Manoatl Lopez and Carlos A. Coello Coello, Use of Reference Point Sets in a Decomposition-based Multi-Objective Evolutionary Algorithm, in Ann Auger, Carlos M. Fonseca, Nuno Lourenço, Penousal Machado, Luís Paquete and Darrell Whitley (Editors), Parallel Problem Solving from Nature -- PPSN XV, 15th International Conference, Proceedings, Part I, pp. 372--383, Springer. Lecture Notes in Computer Science Vol. 11101, Coimbra, Portugal, September 8-12, 2018, ISBN 978-3-319-99258-7.

  8. Jesús Guillermo Falcón-Cardona and Carlos A. Coello Coello, Towards a More General Many-Objective Evolutionary Optimizer, in Ann Auger, Carlos M. Fonseca, Nuno Lourenço, Penousal Machado, Luís Paquete and Darrell Whitley (Editors), Parallel Problem Solving from Nature -- PPSN XV, 15th International Conference, Proceedings, Part I, pp. 335--346, Springer. Lecture Notes in Computer Science Vol. 11101, Coimbra, Portugal, September 8-12, 2018, ISBN 978-3-319-99258-7.

  9. Ivan Amaya, José Carlos Ortiz-Bayliss, Santiago Enrique Conant-Pablos, Hugo Terashima-Marín and Carlos A. Coello Coello, Tailoring Instances of the 1D Bin Packing Problem for Assessing Strengths and Weaknesses of its Solvers, in Ann Auger, Carlos M. Fonseca, Nuno Lourenço, Penousal Machado, Luís Paquete and Darrell Whitley (Editors), Parallel Problem Solving from Nature -- PPSN XV, 15th International Conference, Proceedings, Part II, pp. 373--384, Springer. Lecture Notes in Computer Science Vol. 11102, Coimbra, Portugal, September 8-12, 2018, ISBN 978-3-319-99258-7.

  10. Antonio J. Nebro, Juan J. Durillo, José García-Nieto, Cristóbal Barba-González, Javier Del Ser, Carlos A. Coello Coello, Antonio Benítez-Hidalgo and José F. Aldana-Montes, Extending the Speed-constrained Multi-Objective PSO (SMPSO) With Reference Point Based Preference Articulation, in Ann Auger, Carlos M. Fonseca, Nuno Lourenço, Penousal Machado, Luís Paquete and Darrell Whitley (Editors), Parallel Problem Solving from Nature -- PPSN XV, 15th International Conference, Proceedings, Part I, pp. 298--310, Springer. Lecture Notes in Computer Science Vol. 11101, Coimbra, Portugal, September 8-12, 2018, ISBN 978-3-319-99258-7.

  11. Nicolás Rojas-Morales, María-Cristina Riff and Carlos A. Coello Coello, A Cooperative Opposite-Inspired Learning Strategy for Ant-based Algorithms, in Marco Dorigo, Mauro Birattari, Christian Blum, Ander K. Christensen, Andreagiovanni Reina and Vito Trianni (Editors), Swarm Intelligence, 11th International Conference, ANTS 2018, pp. 317--324, Springer, Lecture Notes in Computer Science Vol. 11172, Rome, Italy, October 29-31, 2018, ISBN 978-3-030-00532-0.

  12. Ashraf M. Abdelbar, Khalid M. Salama, Jesús Guillermo Falcón-Cardona and Carlos A. Coello Coello, An Adaptive Recombination-Based Extension of the iMOACO_R Algorithm, in 2018 Symposium Series on Computational Intelligence (SSCI'2018), pp. 735--742, IEEE Press, Bengaluru, India, 18-21 November, 2018, ISBN 978-1-5386-9276-9.

  13. Miriam Pescador-Rojas, Denis Pallez, Carlos Hernández Castellanos and Carlos A. Coello Coello, Studying the effect of robust measures in offline parameter tuning for estimating the performance of MOEA/D, in 2018 Symposium Series on Computational Intelligence (SSCI'2018), pp. 204--211, IEEE Press, Bengaluru, India, 18-21 November, 2018, ISBN 978-1-5386-9276-9.