Publications 2017


Contents

Book Chapters

  1. Saku Kukkonen and Carlos A. Coello Coello, Generalized Differential Evolution for Numerical and Evolutionary Optimization, in Oliver Schütze, Leonardo Trujillo, Pierrick Legrand and Yazmin Maldonado (Editors), NEO 2015. Results of the Numerical and Evolutionary Optimization Workshop NEO 2015 held at September 23-25 2016 in Tijuana, Mexico, pp. 253--279, Springer, Switzerland, 2017, ISBN 1860-9503 .

  2. Saúl Zapotecas-Martínez, Adriana Lara and Carlos A. Coello Coello. Hybridizing MOEAs with Mathematical-Programming Techniques, in Raghu Nandan Sengupta, Aparna Gupta and Joydeep Dutta (Editors), Decision Sciences. Theory and Practice, pp. 185--231, Chapter 4, CRC Press, Boca Raton, Florida, USA, 2017, ISBN 978-1-4665-6430-5. .





International Journals

  1. Adriana Menchaca-Méndez and Carlos A. Coello Coello, An alternative hypervolume-based selection mechanism for multi-objective evolutionary algorithms, Soft Computing, Vol. 21, No. 4, pp. 861--884, February 2017.

  2. Laura Cruz-Reyes, Eduardo Fernandez, Patricia Sanchez, Carlos A. Coello Coello and Claudia Gomez, Incorporation of implicit decision-maker preferences in Multi-Objective Evolutionary Optimization using a multi-criteria classification method, Applied Soft Computing, Vol. 50, pp. 48--57, January 2017.

  3. Jesús Guillermo Falcón-Cardona and Carlos A. Coello Coello, A New Indicator-Based Many-Objective Ant Colony Optimizer for Continuous Search Spaces, Swarm Intelligence, Vol. 11, No. 1, pp. 71--100, March 2017.

  4. Qingling Zhu, Qiuzhen Lin, Weineng Chen, Ka-Chun Wong, Carlos A. Coello Coello, Jianyong Chen and Jun Zhang, An External Archive-Guided Multi-objective Particle Swarm Optimization Algorithm, IEEE Transactions on Cybernetics, Vol. 47, No. 9, pp. 2794--2808, September 2017.

  5. Saber Elsayed, Ruhul Saker and Carlos A. Coello Coello, Sequence-based Deterministic Initialization for Evolutionary Algorithms, IEEE Transactions on Cybernetics, Vol. 47, No. 9, pp. 2911--2923, September 2017.

  6. Alan Díaz-Manríquez, Gregorio Toscano and Carlos A. Coello Coello, Comparison of Metamodeling Techniques in Evolutionary Algorithms, Soft Computing, pp. 5647--5663, Vol. 21, No. 19, October 2017.

  7. Saber Elsayed, Ruhul Sarker, Tapabrata Ray and Carlos Coello Coello, Consolidated Optimization Algorithm for Resource-constrained Project Scheduling Problems, Information Sciences, pp. 346--362, Vols. 418-419, December 2017.

  8. Qiuzhen Liu, Songbai Liu, Chaoyu Tang, Ruizhen Song, Jianyong Chen, Carlos A. Coello Coello and Jun Zhang, Particle Swarm Optimization with a Balanceable Fitness Estimation for Many-objective Optimization Problems, IEEE Transactions on Evolutionary Computation, 2017 (accepted).

  9. Alejandro Rosales-Pérez, Salvador García, Jesus A. Gonzalez, Carlos A. Coello Coello and Francisco Herrera, An Evolutionary Multi-Objective Model and Instance Selection for Support Vector Machines with Pareto-based Ensembles, IEEE Transactions on Evolutionary Computation, 2017 (accepted).

  10. Stjepan Picek, Carlos A. Coello Coello, Domagoj Jakobovic and Nele Mentens, Finding Short and Implementation-friendly Addition Chains with Evolutionary Algorithms, Journal of Heuristics, 2017 (accepted).

  11. Saber Elsayed, Ruhul Sarker, Carlos Coello Coello, Tapabrata Ray, Adaptation of Operators and Continuous Control Parameters in Differential Evolution for Constrained Optimization, Soft Computing, 2017 (accepted).

  12. 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, 2017 (accepted).

  13. 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, (accepted).

  14. Saber Elsayed, Ruhul Sarker and Carlos Coello Coello, Fuzzy Rule-based Design of Evolutionary Algorithm for Optimization, IEEE Transactions on Cybernetics, 2017 (accepted).





International Conferences

  1. Miriam Pescador-Rojas, Raquel Hernández Gómez, Elizabeth Montero, Nicolás Rojas-Morales, María-Cristina Riff and Carlos A. Coello Coello, An Overview of Weighted and Unconstrained Scalarizing Functions, in Heike Trautmann, Günter Rudolph, Kathrin Klamroth, Oliver Schütze, Margaret Wiecek, Yaochu Jin and Christian Grimme (Editors), Evolutionary Multi-Criterion Optimization, 9th International Conference, EMO 2017, pp. 499--513, Springer, Lecture Notes in Computer Science Vol. 10173, Münster, Germany, March 19-22, 2017, ISBN 978-3-319-54156-3.

  2. Alejandro Rosales-Pérez, Andrés E. Gutiérrez-Rodríguez, José C. Ortiz-Bayliss, Hugo Terashima-Marín and Carlos A. Coello Coello, Evolutionary Multilabel Hyper-Heuristic Design, in 2017 IEEE Congress on Evolutionary Computation (CEC'2017), pp. 2622--2629, IEEE Press, San Sebastián, Spain, June 5-8, 2017, ISBN 978-1-5090-4601-0.

  3. Edgar Manoatl Lopez and Carlos A. Coello Coello, Improving the Integration of the IGD+ Indicator into the Selection Mechanism of a Multi-objective Evolutionary Algorithm, in 2017 IEEE Congress on Evolutionary Computation (CEC'2017), pp. 2683--2690, IEEE Press, San Sebastián, Spain, June 5-8, 2017, ISBN 978-1-5090-4601-0.

  4. Iván Amaya, José Carlos Ortiz-Bayliss, Andrés Eduardo Gutiérrez-Rodríguez, Hugo Terashima-Marín and Carlos A. Coello Coello, Improving Hyper-heuristic Performance Through Feature Transformation, in 2017 IEEE Congress on Evolutionary Computation (CEC'2017), pp. 2614--2621, IEEE Press, San Sebastián, Spain, June 5-8, 2017, ISBN 978-1-5090-4601-0.

  5. Andres Eduardo Gutiérrez Rodríguez, José Carlos Ortiz Bayliss, Alejandro Rosales Pérez, Ivan Mauricio Amaya Contreras, Santiago Enrique Conant Pablos, Hugo Terashima Marín and Carlos Artemio Coello Coello, Applying Automatic Heuristic-Filtering to Improve Hyper-heuristic Performance, in 2017 IEEE Congress on Evolutionary Computation (CEC'2017), pp. 2638--2644, IEEE Press, San Sebastián, Spain, June 5-8, 2017, ISBN 978-1-5090-4601-0.

  6. Raquel Hernández Gómez and Carlos A. Coello Coello, A Hyper-Heuristic of Scalarizing Functions, in 2017 Genetic and Evolutionary Computation Conference (GECCO'2017), pp. 577--584, ACM Press, Berlin, Germany, 15-19 July 2017, ISBN 978-1-4503-4920-8.





Technical Reports

  1. Raquel Hernández Gómez and Carlos A. Coello Coello, A Hyper-Heuristic of Scalarizing Functions (Experimental Study), Technical Report EVOCINV-01-2017, Evolutionary Computation Group at CINVESTAV, Departamento de Computación, CINVESTAV-IPN, México, April 17, 2017.