Publications 2014


Contents

Book Chapters

  1. Alfredo Arias Montaño, Carlos A. Coello Coello and Oliver Schütze, Multiobjective Optimization for Space Mission Design Problems, in M. Vasile and V.M. Becerra (Editors), Computational Intelligence in Aerospace Sciences, pp. 1--46, AIAA Press, Progress in Astronautics and Aeronautics Vol. 244, Reston, Virginia, USA, 2014, ISBN 978-1-62410-260-8.





International Journals

  1. Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyophadyay and Carlos Artemio Coello Coello, A Survey of Multiobjective Evolutionary Algorithms for Data Mining: Part I, IEEE Transactions on Evolutionary Computation, Vol. 18, No. 1, pp. 4--19, February 2014.

  2. Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyophadyay and Carlos Artemio Coello Coello, A Survey of Multiobjective Evolutionary Algorithms for Data Mining: Part II, IEEE Transactions on Evolutionary Computation, Vol. 18, No. 1, pp. 20--35, February 2014.

  3. Gustavo Zavala, Antonio J. Nebro, Francisco Luna and Carlos A. Coello Coello, A Survey of Multi-Objective Metaheuristics Applied to Structural Optimization, Structural and Multidisciplinary Optimization, Vol. 49, No. 4, pp. 537--558, April 2014.

  4. 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, 20 July 2014.

  5. Antonio López Jaimes, Carlos A. Coello Coello, Hernán Aguirre and Kiyoshi Tanaka. Objective Space Partitioning Using Conflict Information for Solving Many-Objective Problems, Information Sciences, Vol. 268, pp. 305--327, 1 June 2014.

  6. Miguel A. Medina, Juan M. Ramírez, Carlos A. Coello and Swagatam Das. Use of a multi-objective teaching-learning algorithm for reduction of power losses in a power test system, DYNA, Vol. 81, No. 185, pp. 196--203, June 2014, ISSN 0012-7353.

  7. 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. 277, pp. 1--20, September 1, 2014.

  8. Miguel A. Medina, Swagatam Das, Carlos A. Coello Coello, and Juan M. Ramírez, Decomposition-based Modern Metaheuristic Algorithms for Multi-Objective Optimal Power Flow--A Comparative Study, Engineering Applications of Artificial Intelligence, Vol. 32, pp. 10--20, June 2014.

  9. Alejandro Rosales-Pérez, Jesus A. Gonzalez, Carlos A. Coello Coello, Hugo Jair Escalante and Carlos A. Reyes-Garcia, Multi-Objective Model Type Selection, Neurocomputing, Vol. 46, pp. 83--94, 25 December 2014.





International Conferences

  1. Adriana Menchaca-Mendez and Carlos A. Coello Coello, MD-MOEA : A New MOEA based on the Maximin Fitness Function and Euclidean Distances between Solutions, in 2014 IEEE Congress on Evolutionary Computation (CEC'2014), pp. 2148--2155, IEEE Press, Beijing, China, 6-11 July 2014, ISBN 978-1-4799-1488-3.

  2. Alejandro Rosales-Pérez, Hugo Jair Escalante, Carlos A. Coello Coello, Jesus A. Gonzalez and Carlos A. Reyes-Garcia, An Evolutionary Multi-Objective Approach for Prototype Generation, in 2014 IEEE Congress on Evolutionary Computation (CEC'2014), pp. 1100--1107, IEEE Press, Beijing, China, 6-11 July 2014, ISBN 978-1-4799-1488-3.

  3. Subhodip Biswas, Swagatam Das, Ponnuthurai N. Suganthan and Carlos A. Coello Coello. Evolutionary Multiobjective Optimization in Dynamic Environments: A Set of Novel Benchmark Functions, in 2014 IEEE Congress on Evolutionary Computation (CEC'2014), pp. 3192--3199, IEEE Press, Beijing, China, 6-11 July 2014, ISBN 978-1-4799-1488-3.

  4. 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.

  5. Carlos Segura, Carlos A. Coello Coello, Eduardo Segredo and Coromoto Leon. An Analysis of the Automatic Adaptation of the Crossover Rate in Differential Evolution, in 2014 IEEE Congress on Evolutionary Computation (CEC'2014), pp. 459--466, IEEE Press, Beijing, China, 6-11 July 2014, ISBN 978-1-4799-1488-3.

  6. Saúl Zapotecas Martínez and Carlos A. Coello Coello. A Multi-objective Evolutionary Algorithm based on Decomposition for Constrained Multi-objective Optimization, in 2014 IEEE Congress on Evolutionary Computation (CEC'2014), pp. 429--436, IEEE Press, Beijing, China, 6-11 July 2014, ISBN 978-1-4799-1488-3.

  7. Saúl Zapotecas Martínez, Alfredo Arias Montaño and Carlos A. Coello Coello. Constrained Multi-Objective Aerodynamic Shape Optimization via Swarm Intelligence, in 2014 Genetic and Evolutionary Computation Conference (GECCO 2014), pp. 81--88, ACM Press, Vancouver, Canada, July 12-16, 2014, ISBN 978-1-4503-2662-9.

  8. Saúl Zapotecas-Martínez, Víctor A. Sosa-Hernández, Hernán Aguirre, Kiyoshi Tanaka and Carlos A. Coello Coello. Using a Family of Curves to Approximate the Pareto Front of a Multi-Objective Optimization Problem, in Thomas Bartz-Beielstein, Jürgen Branke, Bogdan Filipic and Jim Smith (Editors), Parallel Problem Solving from Nature -- PPSN XIII, 13th International Conference, pp. 682--691, Springer, Lecture Notes in Computer Science Vol. 8672, Ljuljana, Slovenia, September 13-17, 2014, ISBN 978-3-319-10761-5.

  9. Adriana Menchaca-Mendez and Carlos A. Coello Coello. MH-MOEA: A New Multi-Objective Evolutionary Algorithm based on the Maximin Fitness Function and the Hypervolume Indicator, in Thomas Bartz-Beielstein, Jürgen Branke, Bogdan Filipic and Jim Smith (Editors), Parallel Problem Solving from Nature -- PPSN XIII, 13th International Conference, pp. 652--661, Springer, Lecture Notes in Computer Science Vol. 8672, Ljuljana, Slovenia, September 13-17, 2014, ISBN 978-3-319-10761-5.

  10. Carlos A. Coello Coello, An Introduction to Evolutionary Multi-Objective Optimization with Some Applications in Pattern Recognition, in Eduardo Bayro-Corrochano and Edwin Hancock (Editors), Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 19th Iberoamerican Congress, CIARP 2014, pp. 1--13, Springer, Lecture Notes in Computer Science Vol. 8827, Puerto Vallarta, México, November 2-5, 2014 (invited paper).

  11. Alejandro Rosales, Jesus A. Gonzalez, Carlos A. Coello Coello, Carlos A. Reyes-García and Hugo Jair Escalante, Evolutionary Multi-Objective Approach for Prototype Generation and Feature Selection, in Eduardo Bayro-Corrochano and Edwin Hancock (Editors), Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 19th Iberoamerican Congress, CIARP 2014, pp. 424--431, Springer, Lecture Notes in Computer Science Vol. 8827, Puerto Vallarta, México, November 2-5, 2014.

  12. Adriana Menchaca, Elizabeth Montero, María Cristina Riff and Carlos Coello Coello, A More Efficient Selection Scheme in iSMS-EMOA, in Ana L.C. Bazzan and Karim Pichara (Editors), Advances in Artificial Intelligence -- IBERAMIA 2014, 14th Iberoamerican Conference on AI, pp. 371--380, Springer, Lecture Notes in Artificial Intelligence Vol. 8864, Santiago de Chile, Chile, November 24-27, 2014.

  13. Jesus Moises Osorio Velazquez, Carlos A. Coello Coello and Alfredo Arias-Montaño, Multi-Objective Compact Differential Evolution, in 2014 IEEE Symposium on Differential Evolution (part of the 2014 IEEE Symposium Series on Computational Intelligence), pp. 49--56, IEEE Press, ISBN 978-1-4799-4462-0, Orlando, Florida, USA, December 9-12, 2014.