Publications 2015


Contents

Book Chapters

  1. Carlos A. Coello Coello. Multi-objective Evolutionary Algorithms in Real-World Applications: Some Recent Results and Current Challenges, in David Greiner, Blas Galván, Jacques Périaux, Nicolas Gauger, Kyriakos Giannakoglou and Gabriel Winter (editors), Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences, Chapter 1, pp. 3--18, Springer, Computational Methods in Applied Sciences Vol. 36, Switzerland, 2015, ISBN 978-3-319-11540-5.

  2. Antonio López Jaimes and Carlos A. Coello Coello. Many-objective Problems: Challenges and Methods, in Janusz Kacprzyk and Witold Pedrycz (editors), Springer Handbook of Computational Intelligence, Part E, pp. 1033--1046, Springer-Verlag, Heidelberg, Germany, 2015, ISBN 978-3-662-43504-5.





International Journals

  1. V.S. Aragón, S.C. Esquivel and C.A. Coello Coello, An Immune Algorithm with Power Redistribution for Solving Economic Dispatch Problems, Information Systems, Vol. 209, pp. 609--632, 2015.

  2. Alejandro Rosales-Pérez, Jesus A. Gonzalez, Carlos A. Coello Coello, Hugo Jair Escalante and Carlos A. Reyes-Garcia, Surrogate-Assisted Multi-Objective Model Selection for Support Vector Machines, Neurocomputing, Vol. 150, Part A, pp. 163--172, February 2015.

  3. Carlos Segura, Carlos A. Coello Coello, Eduardo Segredo and Coromoto León, On the Adaptation of the Mutation Scale Factor in Differential Evolution, Optimization Letters, pp. 189--198, Vol. 9, No. 1, January 2015.

  4. Carlos Segura, Carlos A. Coello Coello and Alfredo G. Hernández-Díaz, Improving the Vector Generation Strategy of Differential Evolution for Large-Scale Optimization, Information Sciences, Vol. 323, pp. 106--129, 1 December 2015.





International Conferences

  1. Adriana Menchaca-Mendez and Carlos A. Coello Coello. GD-MOEA: A New Multi-Objective Evolutionary Algorithm Based on the Generational Distance Indicator, in António Gaspar-Cunha, Carlos Henggeler Antunes and Carlos Coello Coello (editors), Evolutionary Multi-Criterion Optimization, 8th International Conference, EMO 2015, pp. 156--170, Springer. Lecture Notes in Computer Science Vol. 9018, Guimarães, Portugal, March 29 - April 1, 2015.

  2. Edgar Manoatl Lopez, Luis Miguel Antonio and Carlos A. Coello Coello. A GPU-Based Algorithm for a Faster Hypervolume Contribution Computation, in António Gaspar-Cunha, Carlos Henggeler Antunes and Carlos Coello Coello (editors), Evolutionary Multi-Criterion Optimization, 8th International Conference, EMO 2015, pp. 80--94, Springer. Lecture Notes in Computer Science Vol. 9019, Guimarães, Portugal, March 29 - April 1, 2015.

  3. José A. Molinet Berenguer and Carlos A. Coello Coello. Evolutionary Many-Objective Optimization Based on Kuhn-Munkres' Algorithm, in António Gaspar-Cunha, Carlos Henggeler Antunes and Carlos Coello Coello (editors), Evolutionary Multi-Criterion Optimization, 8th International Conference, EMO 2015, pp. 3--17, Springer. Lecture Notes in Computer Science Vol. 9019, Guimarães, Portugal, March 29 - April 1, 2015.

  4. Adriana Menchaca-Mendez and Carlos A. Coello Coello, GDE-MOEA : A New MOEA based on the Generational Distance indicator and ε-dominance, in 2015 IEEE Congress on Evolutionary Computation (CEC'2015), pp. 947--955, IEEE Press, Sendai, Japan, 25-28 May 2015, ISBN 978-1-4799-7492-4.

  5. Luis Miguel Antonio and Carlos A. Coello Coello, A Non-cooperative Game for Faster Convergence in Cooperative Coevolution for Multi-objective Optimization, in 2015 IEEE Congress on Evolutionary Computation (CEC'2015), pp. 109--116, IEEE Press, Sendai, Japan, 25-28 May 2015, ISBN 978-1-4799-7492-4.

  6. Saúl Zapotecas-Martínez, Hernán E. Aguirre, Kiyoshi Tanaka and Carlos A. Coello Coello, On the Low-Discrepancy Sequences and their Use in MOEA/D for High-Dimensional Objective Spaces, in 2015 IEEE Congress on Evolutionary Computation (CEC'2015), pp. 2835--2842, IEEE Press, Sendai, Japan, 25-28 May 2015, ISBN 978-1-4799-7492-4.

  7. Raquel Hernández Gómez and Carlos A. Coello Coello, Improved Metaheuristic Based on the R2 Indicator for Many-Objective Optimization, in 2015 Genetic and Evolutionary Computation Conference (GECCO 2015), pp. 679--686, ACM Press, Madrid, Spain, July 11-15, 2015, ISBN 978-1-4503-3472-3.

  8. Luis Miguel Antonio and Carlos A. Coello Coello, Particle Swarm Optimization Based on Linear Assignment Problem Transformations, in 2015 Genetic and Evolutionary Computation Conference (GECCO 2015), pp. 57--64, ACM Press, Madrid, Spain, July 11-15, 2015, ISBN 978-1-4503-3472-3.





Technical Reports

  1. Adriana Menchaca-Mendez and Carlos A. Coello Coello, An alternative hypervolume-based selection mechanism for multi-objective evolutionary algorithms, Technical Report EVOCINV-01-2015, Evolutionary Computation Group at CINVESTAV, Departamento de Computación, CINVESTAV-IPN, México, May 2015.

  2. Adriana Menchaca-Mendez and Carlos A. Coello Coello, Muti-Objective Evolutionary Algorithms based on the Maximin Fitness Function to solve Many-Objective Optimization Problems, Technical Report EVOCINV-02-2015, Evolutionary Computation Group at CINVESTAV, Departamento de Computación, CINVESTAV-IPN, México, October 2015.