Publications 2016


Contents

Book Chapters

  1. Carlos A. Coello Coello, Carlos Segura and Gara Miranda, History and Philosophy of Evolutionary Computation, in Plamen Parvanov Angelov (editor), Handbook on Computational Intelligence, Volume 2: Evolutionary Computation, Hybrid Systems, and Applications, Chapter 14, pp. 509--545, World Scientific, Singapore, 2016, ISBN 978-981-4675-04-8.





International Journals

  1. Saúl Zapotecas Martínez and Carlos A. Coello Coello, MONSS: A Multi-Objective Nonlinear Simplex Search Approach, Engineering Optimization, Vol. 48, No. 1, pp. 16--38, 2016.

  2. Adriana Menchaca-Mendez and Carlos A. Coello Coello, Selection mechanisms based on the maximin fitness function to solve multi-objective optimization problems, Information Sciences, Vol. 332, pp. 131--152, March 1, 2016.

  3. Oliver Schütze, Adanay Martín, Adriana Lara, Sergio Alvarado, Eduardo Salinas and Carlos A. Coello Coello, The Directed Search Method for Multi-Objective Memetic Algorithms, Computational Optimization and Applications, Vol. 63, No. 2, pp. 305--332, March 2016.

  4. Qiuzhen Lin, Zhiwang Liu, Qiao Yan, Zhihua Du, Carlos A. Coello Coello, Zhengping Liang, Wenjun Wang and Jianyong Chen, Adaptive composite operator selection and parameter control for multiobjective evolutionary algorithm, Information Sciences, Vol. 339, pp. 332--352, April 20, 2016.

  5. Gustavo R. Zavala, Antonio J. Nebro, Francisco Luna and Carlos A. Coello Coello, Structural Design using Multi-objective Metaheuristics. Comparative Study and Application to a Real-World Problem, Structural and Multidisciplinary Optimization, Vol. 53, No. 3, pp. 545--566, 2016.

  6. Carlos Segura, Carlos A. Coello Coello, Gara Miranda and Coromoto León, Using multi-objective evolutionary algorithms for single-objective constrained and unconstrained optimization, Annals of Operations Research, Vol. 240, No. 1, pp. 217--250, May 2016.

  7. Francisco Luna, Gustavo R. Zavala, Antonio J. Nebro, Juan J. Durillo and Carlos A. Coello Coello, Distributed multi-objective metaheuristics for real-world structural optimization problems, The Computer Journal, Vol. 59, No. 6, pp. 777--792, June 2016.

  8. Alejandro Rosales-Pérez, Jesus A. Gonzalez, Carlos A. Coello Coello, Carlos A. Reyes-Garcia and Hugo Jair Escalante, EMOPG+FS: Evolutionary Multi-Objective Prototype Generation and Feature Selection, Intelligent Data Analysis, Vol. 20, No. s1, pp. S37--S51, 2016.

  9. Qiuzhen Lin, Jianyong Chen, Zhi-Hui Zhan, Wei-neng Chen, Carlos A. Coello Coello, Yilong Yin, Chih-Min Lin and Jun Zhang, A Hybrid Evolutionary Immune Algorithm for Multiobjective Optimization Problems, IEEE Transactions on Evolutionary Computation, Vol. 20, No. 5, pp. 711--728, October 2016.

  10. Carlos Segura, Carlos A. Coello Coello, Eduardo Segredo, and Arturo Hernández Aguirre, A Novel Diversity-Based Replacement Strategy for Evolutionary Algorithms, IEEE Transactions on Cybernetics, Vol. 46, No. 12, pp. 3233--3246, December 2016.

  11. Julio Barrera, O. Álvarez-Bajo, Juan J. Flores and Carlos A. Coello Coello. Limiting the velocity in the Particle Swarm Optimization algorithm, Computación y Sistemas, Vol. 20, No. 4, pp. 635--645, 2016.





International Conferences

  1. Stjepan Picek, Carlos A. Coello Coello, Domagoj Jakobovic and Nele Mentens, Evolutionary Algorithms for Finding Short Addition Chains: Going to the Distance, in Francisco Chicano, Bin Hu, Pablo García-Sánchez (Editors), Evolutionary Computation in Combinatorial Optimization, 16th European Conference, EvoCOP 2016, pp. 121--137, Springer, Lecture Notes in Computer Science Vol. 9595, Porto, Portugal, March 30 - April 1, 2016.

  2. Raquel Hernández Gómez, Carlos A. Coello Coello and Enrique Alba Torres, A Multi-Objective Evolutionary Algorithm based on Parallel Coordinates, 2016 Genetic and Evolutionary Computation Conference (GECCO'2016), pp. 565--572, ACM Press, Denver, Colorado, USA, 20-24 July 2016, ISBN 978-1-4503-4206-3.

  3. Adriana Menchaca-Mendez, Carlos Hernández and Carlos A. Coello Coello, Δ_p-MOEA: A New Multi-Objective Evolutionary Algorithm Based on the Δ_p Indicator, in 2016 IEEE Congress on Evolutionary Computation (CEC'2016), pp. 3753--3760, IEEE Press, Vancouver, Canada, 24-29 July, 2016, ISBN 978-1-5090-0623-9.

  4. Luis Miguel Antonio and Carlos Coello Coello, Indicator-Based Cooperative Coevolution for Multi-objective Optimization, in 2016 IEEE Congress on Evolutionary Computation (CEC'2016), pp. 991--998, IEEE Press, Vancouver, Canada, 24-29 July, 2016, ISBN 978-1-5090-0623-9.

  5. Edgar Manoatl Lopez and Carlos Coello Coello, IGD+-EMOA: A Multi-Objective Evolutionary Algorithm based on IGD+, in 2016 IEEE Congress on Evolutionary Computation (CEC'2016), pp. 999--1006, IEEE Press, Vancouver, Canada, 24-29 July, 2016, ISBN 978-1-5090-0623-9.

  6. Saku Kukkonen and Carlos Coello Coello, Applying Exponential Weighting Moving Average Control Parameter Adaptation Technique with Generalized Differential Evolution, in 2016 IEEE Congress on Evolutionary Computation (CEC'2016), pp. 4755--4762, IEEE Press, Vancouver, Canada, 24-29 July, 2016, ISBN 978-1-5090-0623-9.

  7. Saber Elsayed, Ruhul Sarker and Carlos Coello Coello, Enhanced Multi-operator Differential Evolution for Constrained Optimization, in 2016 IEEE Congress on Evolutionary Computation (CEC'2016), pp. 4191--4198, IEEE Press, Vancouver, Canada, 24-29 July, 2016, ISBN 978-1-5090-0623-9. The supplementary material is here.

  8. Jesús Guillermo Falcón-Cardona and Carlos A. Coello Coello. iMOACOR: A New Indicator-Based Multi-Objective Ant Colony Optimization Algorithm for Continuous Search Spaces, in Julia Handl, Emma Hart, Peter R. Lewis, Manuel López-Ibáñez, Gabriela Ochoa and Ben Paechter (Editors), Parallel Problem Solving from Nature -- PPSN XIV, 14th International Conference, pp. 389--398, Springer. Lecture Notes in Computer Science Vol. 9921, Edinburgh, UK, September 17-21, 2016, ISBN 978-3-319-45822-9.

  9. Edgar Manoatl Lopez and Carlos A. Coello Coello. A Parallel Multi-objective Memetic Algorithm Based on the IGD+ Indicator, in Julia Handl, Emma Hart, Peter R. Lewis, Manuel López-Ibáñez, Gabriela Ochoa and Ben Paechter (Editors), Parallel Problem Solving from Nature -- PPSN XIV, 14th International Conference, pp. 473--482, Springer. Lecture Notes in Computer Science Vol. 9921, Edinburgh, UK, September 17-21, 2016, ISBN 978-3-319-45822-9.

  10. Raquel Hernández Gómez, Carlos A. Coello Coello and Enrique Alba. A Parallel Version of SMS-EMOA for Many-Objective Optimization Problems, in Julia Handl, Emma Hart, Peter R. Lewis, Manuel López-Ibáñez, Gabriela Ochoa and Ben Paechter (Editors), Parallel Problem Solving from Nature -- PPSN XIV, 14th International Conference, pp. 568--577, Springer. Lecture Notes in Computer Science Vol. 9921, Edinburgh, UK, September 17-21, 2016, ISBN 978-3-319-45822-9.

  11. Luis Miguel Antonio and Carlos A. Coello Coello. Decomposition-Based Approach for Solving Large Scale Multi-objective Problems, in Julia Handl, Emma Hart, Peter R. Lewis, Manuel López-Ibáñez, Gabriela Ochoa and Ben Paechter (Editors), Parallel Problem Solving from Nature -- PPSN XIV, 14th International Conference, pp. 525--534, Springer. Lecture Notes in Computer Science Vol. 9921, Edinburgh, UK, September 17-21, 2016, ISBN 978-3-319-45822-9.

  12. Miriam Pescador-Rojas and Carlos A. Coello Coello. A Novel Local Search Mechanism Based on the Reflected Ray Tracing Method Coupled to MOEA/D, in 2016 IEEE Symposium Series on Computational Intelligence (SSCI'2016), IEEE Press, Athens, Greece, 6-9 December 2016, ISBN 978-1-5090-4240-1.

Technical Reports

  1. Raquel Hernández Gómez, Carlos A. Coello Coello and Enrique Alba, A Parallel Version of SMS-EMOA for Many-Objective Optimization Problems, Technical Report EVOCINV-01-2016, Evolutionary Computation Group at CINVESTAV, Departamento de Computación, CINVESTAV-IPN, México, May 2016.