Publications 2013


Contents

Book Chapters

  1. 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: Theory and applications, Chapter 8, pp. 191--207, John Wiley & Sons, Chichester, UK, 2013, ISBN 978-1-119-97639-4.

  2. Victoria S. Aragón, Susana C. Esquivel and Carlos A. Coello Coello, Artificial Immune System for Solving Dynamic Constrained Optimization Problems, in Enrique Alba, Amir Nakib and Patrick Siarry (editors), Metaheuristics for Dynamic Optimization, pp. 225--263, Springer, ISBN 978-3-642-30664-8, Berlin, Germany, 2013.

  3. Adriana Lara, Oliver Schütze and Carlos A. Coello Coello, On Gradient-based Local Search to Hybridize Multi-objective Evolutionary Algorithms, in Emilia Tantar, Alexandru-Adrian Tantar, Pascal Bouvry, Pierre Del Moral, Pierrick Legrand, Carlos A. Coello Coello and Oliver Schütze (editors), EVOLVE - A bridge between Probability, Set Oriented Numerics and Evolutionary Computation, Chapter 9, pp. 305--332, Springer-Verlag, Heidelber, Germany, Studies in Computational Intelligence Vol. 447, 2013, ISBN 978-3-642-32725-4.





International Journals

  1. Antonin Ponsich and Carlos A. Coello Coello. A Hybrid Differential Evolution-Tabu Search Algorithm for the Solution of Job-Shop Scheduling Problems, Applied Soft Computing, Vol. 13, No. 1, pp. 462--474, January 2013.

  2. Eduardo Fernández, Edy López, Gustavo Mazcorro, Rafael Olmedo and Carlos A. Coello Coello. Application of the non-outranked sorting genetic algorithm to public project portfolio selection, Information Sciences, Vol. 228, pp. 131--149, 10 April 2013.

  3. Antonin Ponsich, Antonio López Jaimes and Carlos A. Coello Coello. Multi-Objective Evolutionary Algorithms for Portfolio Optimization and other Finance and Economics Applications: A Survey, IEEE Transactions on Evolutionary Computation, Vol. 17, No. 3, pp. 321--344, June 2013.

  4. Eduardo Vázquez-Fernández, Carlos A. Coello Coello and Feliú D. Sagols Troncoso. An evolutionary algorithm with a history mechanism for tuning a chess evaluation function, Applied Soft Computing, Vol. 13, No. 7, pp. 3234--3247, July 2013.

  5. Carlos Segura, Carlos A. Coello Coello, Gara Miranda and Coromoto León. Using Multi-objective Evolutionary Algorithms for Single-Objective Optimization, 4OR--A Quarterly Journal of Operations Research, Vol. 11, No. 3, pp. 201--228, September 2013.

  6. Miguel A. Medina, Carlos A. Coello Coello and Juan M. Ramirez. Reactive Power Handling by a Multi-Objective Teaching Learning Optimizer based on Decomposition, IEEE Transactions on Power Systems, Vol. 28, No. 4, pp. 3629--3637, November 2013.





International Conferences

  1. Adriana Menchaca-Mendez and Carlos A. Coello Coello. Selection Operators Based on Maximin Fitness Function for Multi-Objective Evolutionary Algorithms, 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. 215--229, Springer. Lecture Notes in Computer Science Vol. 7811, Sheffield, UK, March 19-22, 2013.

  2. 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.

  3. Saúl Zapotecas Martínez and Carlos A. Coello Coello, A Hybridization of MOEA/D with the Nonlinear Simplex Search Algorithm, in Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM'2013), pp. 48--55, IEEE Press, Singapore, April 16--19, 2013.

  4. Miguel A. Medina, Swagatam Das, Carlos A. Coello Coello and Juan M. Ramirez, Two Decomposition-based Modern Metaheuristic Algorithms for Multi-objective Optimization - A Comparative Study, in Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM'2013), pp. 9--16, IEEE Press, Singapore, April 16--19, 2013.

  5. Alejandro Rosales-Pérez, Carlos A. Coello Coello, Jesus A. Gonzalez, Carlos A. Reyes-García and Hugo Jair Escalante. A Hybrid Surrogate-Based Approach for Evolutionary Multi-Objective Optimization, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 2548--2555, IEEE Press, Cancún, México, 20-23 June, 2013.

  6. Alejandro Rosales-Pérez, Hugo Jair Escalante, Jesus A. Gonzalez, Carlos A. Reyes-García and Carlos A. Coello Coello. Bias and Variance Multi-Objective Optimization for Support Vector Machines Model Selection, in João M. Sanches, Luisa Micó and Jaime S. Cardoso (editors), Pattern Recognition and Image Analysis, 6th Iberian Conference, IbPRIA 2013, pp. 108--116, Springer, Lecture Notes in Computer Science Vol. 7887, Funchal, Madeira, Portugal, June 5-7, 2013.

  7. Eduardo Vázquez-Fernández and Carlos A. Coello Coello. An Adaptive Evolutionary Algorithm Based on Tactical and Positional Chess Problems to Adjust the Weights of a Chess Engine, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 1395--1402, IEEE Press, Cancún, México, 20-23 June, 2013.

  8. Alan Díaz-Manríquez, Gregorio Toscano-Pulido, Carlos A. Coello Coello and Ricardo Landa-Becerra. A Ranking Method Based on the R2 indicator for Many-Objective Optimization, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 1523--1530, IEEE Press, Cancún, México, 20-23 June, 2013.

  9. Adriana Menchaca-Mendez and Carlos A. Coello Coello. A New Selection Mechanism Based on Hypervolume and its Locality Property, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 924--931, IEEE Press, Cancún, México, 20-23 June, 2013.

  10. Ricardo Landa, Carlos A. Coello Coello and Gregorio Toscano-Pulido. Goal-constraint: Incorporating Preferences Through an Evolutionary ε-constraint Based Method, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 741--747, IEEE Press, Cancún, México, 20-23 June, 2013.

  11. Kunal Pal, Chiranjib Saha, Swagatam Das and Carlos A. Coello Coello. Dynamic Constrained Optimization with Offspring Repair based Gravitational Search Algorithm, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 2414--2421, IEEE Press, Cancún, México, 20-23 June, 2013.

  12. Saúl Zapotecas Martínez and Carlos A. Coello Coello. Combining Surrogate Models and Local Search for Dealing with Expensive Multi-objective Optimization Problems, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 2572--2579, IEEE Press, Cancún, México, 20-23 June, 2013.

  13. Raquel Hernández Gómez and Carlos A. Coello Coello. MOMBI: A New Metaheuristic for Many-Objective Optimization Based on the R2 Indicator, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 2488--2495, IEEE Press, Cancún, México, 20-23 June, 2013.

  14. Luis Miguel Antonio and Carlos A. Coello Coello. Use of Cooperative Coevolution for Solving Large Scale Multiobjective Optimization Problems, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 2758--2765, IEEE Press, Cancún, México, 20-23 June, 2013.

  15. Antonio J. Nebro, Juan J. Durillo and Carlos A. Coello Coello. Analysis of Leader Selection Strategies in a Multi-Objective Particle Swarm Optimizer, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 3153--3160, IEEE Press, Cancún, México, 20-23 June, 2013.

  16. Carlos Segura, Carlos A. Coello Coello, Eduardo Segredo, Gara Miranda and Coromoto León. Improving the Diversity Preservation of Multi-objective Approaches used for Single-objective Optimization, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 3198--3205, IEEE Press, Cancún, México, 20-23 June, 2013.

  17. Saúl Zapotecas Martínez and Carlos A. Coello Coello. MOEA/D assisted by RBF Networks for Expensive Multi-Objective Optimization Problems, in 2013 Genetic and Evolutionary Computation Conference (GECCO'2013), pp. 1405--1412, ACM Press, New York, USA, July 6-10, 2013, ISBN 978-1-4503-1963-8.

  18. Antonio J. Nebro, Juan J. Durillo, Mirialys Machín, Carlos A. Coello Coello and Bernabé Dorronsoro. A Study of the Combination of Variation Operators in the NSGA-II Algorithm, in Concha Bielza, Antonio Salmerón, Amparo Alonso-Betanzos, J. Ignacio Hidalgo, Luis Martínez, Alicia Troncoso, Emilio Corchado and Juan M. Corchado (Editors), 15th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2013, pp. 269--278, Springer, Lecture Notes in Computer Science Vol. 8109, Madrid, Spain, September 17-20, 2013.

  19. Juan Carlos Gómez, Fernando Hernández, Carlos A. Coello Coello, Guillermo Ronquillo and Antonio Trejo. Flame Classification through the use of an Artificial Neural Network trained with a Genetic Algorithm, in Félix Castro, Alexander Gelbukh and Miguel González (editors), Advances in Soft Computing and Its Applications, 12th Mexican International Conference on Artificial Intelligence, MICAI 2013, pp. 172--184, Springer, Lecture Notes in Artificial Intelligence Vol. 8266, Mexico City, Mexico, November 24-30, 2013.

  20. Francisco Luna, Gustavo R. Zavala, Antonio J. Nebro, Juan J. Durillo and Carlos A. Coello Coello, Solving a Real-World Structural Optimization Problem with a Distributed SMS-EMOA Algorithm, in 2013 Eighth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, pp. 600--605, IEEE Computer Society Press, Compiègne, France, October 28-30, 2013.

  21. Miguel A. Medina, Juan M. Ramírez and Carlos A. Coello Coello, A novel multi-objective optimizer for handling reactive power, in POWERTECH 2013, IEEE Press, Grenoble, France, 16-20 June 2013, ISBN 978-1-4673-5667-1.





Technical Reports

  1. Saúl Zapotecas Martínez and Carlos A. Coello Coello, MONSS: A Multi-Objective Nonlinear Simplex Search, Technical Report EVOCINV-01-2013, Evolutionary Computation Group at CINVESTAV, Departamento de Computación, CINVESTAV-IPN, México, February 2013.

  2. Saúl Zapotecas Martínez and Carlos A. Coello Coello, MOEA/D assisted by RBF Networks for Expensive Multi-Objective Optimization Problems, Technical Report EVOCINV-02-2013, Evolutionary Computation Group at CINVESTAV, Departamento de Computación, CINVESTAV-IPN, México, February 2013.