Publications 2019


Contents





International Journals

  1. Saber Elsayed, Ruhul Sarker and Carlos Coello Coello, Fuzzy Rule-based Design of Evolutionary Algorithm for Optimization, IEEE Transactions on Cybernetics, Vol. 49, No. 1, pp. 301--314, January 2019. (Supplementary Material)

  2. Efrain Solares, Carlos A. Coello Coello, Eduardo Fernandez and Jorge Navarro, Handling uncertainty through confidence intervals in portfolio optimization, Swarm and Evolutionary Computation, Vol. 44, pp. 774--787, February 2019.

  3. Sumit Mishra, Sriparna Saha, Samrat Mondal and Carlos A. Coello Coello, A Divide-and-Conquer based Efficient Non-dominated Sorting Approach, Swarm and Evolutionary Computation, Vol. 44, pp. 748--773, February 2019.

  4. Saúl Zapotecas-Martínez, Carlos A. Coello Coello, Hernán E. Aguirre and Kiyoshi Tanaka. A Review of Features and Limitations of Existing Scalable Multi-Objective Test Suites, IEEE Transactions on Evolutionary Computation, Vol. 23, No. 1, pp. 130--142, February 2019.

  5. Yuchao Su, Jia Wang, Lijia Ma, Xiaozhou Wang, Qiuzhen Lin, Carlos A. Coello Coello, Jianyong Chen, A hybridized angle-encouragement-based decomposition approach for many-objective optimization problems, Applied Soft Computing, Vol. 78, pp. 355--372, May 2019.

  6. Adriana Menchaca-Méndez, Elizabeth Montero, Luis Miguel Antonio, Saúl Zapotecas-Martínez, Carlos A. Coello Coello and María-Cristina Riff, A Co-Evolutionary Scheme for Multi-Objective Evolutionary Algorithms based on ε-Dominance, IEEE Access, Vol. 7, No. 1, pp. 18267--18283, December 2019.

  7. Eduardo Fernandez, Jorge Navarro, Efrain Solares and Carlos A. Coello Coello, A Novel Approach to Select the Best Portfolio Considering the Preferences of the Decision Maker, Swarm and Evolutionary Computation, Vol. 46, pp. 140--153, May 2019.

  8. Forhad Zaman, Saber M. Elsayed, Ruhul Sarker, Daryl Essam and Carlos A. Coello Coello, Multi-method based algorithm for multi-objective problems under uncertainty, Information Sciences, Vol. 481, pp. 81--109, May 2019.

  9. Sumit Mishra and Carlos A. Coello Coello, Parallelism in Divide-and-Conquer Non-dominated Sorting: A Theoretical Study Considering the PRAM-CREW Model, Journal of Heuristics, Vol. 25, No. 3, pp. 455--483, June 2019.

  10. Qiuzhen Lin, Songbai Liu, Ka-Chun Wong, Maoguo Gong, Carlos A. Coello Coello, Jianyong Chen and Jun Zhang, A Clustering-based Evolutionary Algorithm for Many-objective Optimization Problems, IEEE Transactions on Evolutionary Computation, Vol. 23, No. 3, pp. 391--405, June 2019.

  11. Javier Del Ser, Eneko Osaba, Daniel Molina, Xin-She Yang, Sancho Salcedo-Sanz, David Camacho, Swagatam Das, Ponnuthurai N. Suganthan, Carlos A. Coello Coello and Francisco Herrera, Bio-Inspired Computation: Where We Stand and What's Next, Swarm and Evolutionary Computation, Vol. 48, pp. 220--250, August 2019.

  12. Lijia Ma, Jianqiang Li, Qiuzhen Lin, Maoguo Gong, Carlos A. Coello Coello and Zhong Ming, Reliable Link Inference for Network Data with Community Structures, IEEE Transactions on Cybernetics, Vol. 49, No. 9, pp. 3347--3361, September 2019.

  13. Wenjun Wang, Shaoqiang Yang, Qiuzhen Lin, Qingfu Zhang, Ka-Chun Wong, Carlos A. Coello Coello and Jianyong Chen, An Effective Ensemble Framework for Multi-Objective Optimization, IEEE Transactions on Evolutionary Computation, Vol. 23, No. 4, pp. 645--659, August 2019.

  14. Lingjie Li, Qiuzhen Lin, Songbai Liu, Dunwei Gong, Carlos A. Coello Coello and Zhong Ming, A novel multi-objective immune algorithm with a decomposition-based clonal selection, Applied Soft Computing, Vol. 81, UNSP 105490, August 2019.

  15. Songbai Liu, Qiuzhen Lin, Ka-Chun Wong, Lijia Ma, Carlos A. Coello Coello and Dunwei Gong, A novel multi-objective evolutionary algorithm with dynamic decomposition strategy, Swarm and Evolutionary Computation, Vol. 48, pp. 182--200, August 2019.

  16. Luis Fernando Plata-González, Ivan Amaya, José Carlos Ortiz-Bayliss, Santiago Enrique Conant-Pablos, Hugo Terashima-Marín and Carlos A. Coello Coello Evolutionary-Based Tailoring of Synthetic Instances for the Knapsack Problem, Soft Computing, Vol. 23, No. 23, pp. 12711--12728, December 2019.

  17. Sumit Mishra, Sriparna Saha, Samrat Mondal and Carlos A. Coello Coello, Divide-and-Conquer Based Non-dominated Sorting with Reduced Comparisons, Swarm and Evolutionary Computation, Vol. 51, Article no. 100580, December 2019.





International Conferences

  1. Jesús Guillermo Falcón-Cardona, Carlos A. Coello Coello and Michael T.M. Emmerich, CRI-EMOA: A Pareto-Front Shape Invariant Evolutionary Multi-Objective Algorithm, in Kalyanmoy Deb, Erik Goodman, Carlos A. Coello Coello, Kathrin Klamroth, Kaisa Miettinen, Sanaz Mostaghim and Patrick Reed (Editors), Evolutionary Multi-Criterion Optimization, 10th International Conference, EMO 2019, pp. 307--318, Springer. Lecture Notes in Computer Science Vol. 11411, East Lansing, Michigan, USA, March 10-13, 2019, ISBN 978-3-030-12597-4.

  2. Forhad Zaman, Saber Elsayed, Ruhul Sarker, Daryl Essam and Carlos A. Coello Coello, Evolutionary Algorithm for Project Scheduling under Irregular Resource Changes, in 2019 IEEE Congress on Evolutionary Computation (CEC'2019), pp. 403--410, IEEE Press, Wellington, New Zealand, 10-13 June 2019, ISBN 978-1-7281-2153-6.

  3. Sumit Mishra and Carlos A. Coello Coello, Parallel Best Order Sort for Non-dominated Sorting: A Theoretical Study Considering the PRAM-CREW Model, in 2019 IEEE Congress on Evolutionary Computation (CEC'2019), pp. 1022--1029, IEEE Press, Wellington, New Zealand, 10-13 June 2019, ISBN 978-1-7281-2153-6.

  4. Sumit Mishra and Carlos A. Coello Coello, An Approach for Non-domination Level Update Problem in Steady-State Evolutionary Algorithms With Parallelism, in 2019 IEEE Congress on Evolutionary Computation (CEC'2019), pp. 1006--1013, IEEE Press, Wellington, New Zealand, 10-13 June 2019, ISBN 978-1-7281-2153-6.

  5. Wenjian Luo, Luming Shi, Xin Lin and Carlos A. Coello Coello, The ĝ-dominance Relation for Preference-Based Evolutionary Multi-Objective Optimization, in 2019 IEEE Congress on Evolutionary Computation (CEC'2019), pp. 2418--2425, IEEE Press, Wellington, New Zealand, 10-13 June 2019, ISBN 978-1-7281-2153-6.

  6. Jesús Guillermo Falcón-Cardona, Michael T.M. Emmerich and Carlos A. Coello Coello, On the Cooperation of Multiple Indicator-based Multi-Objective Evolutionary Algorithms, in 2019 IEEE Congress on Evolutionary Computation (CEC'2019), pp. 2050--2057, IEEE Press, Wellington, New Zealand, 10-13 June 2019, ISBN 978-1-7281-2153-6.

  7. Saku Kukkonen and Carlos Coello Coello, A Simple and Effective Termination Condition for Both Single- and Multi-Objective Evolutionary Algorithms, in 2019 IEEE Congress on Evolutionary Computation (CEC'2019), pp. 3053--3059, IEEE Press, Wellington, New Zealand, 10-13 June 2019, ISBN 978-1-7281-2153-6.

  8. Jesús Guillermo Falcón-Cardona and Carlos A. Coello Coello, Convergence and Diversity Analysis of Indicator-based Multi-Objective Evolutionary Algorithms, in 2019 Genetic and Evolutionary Computation Conference (GECCO'2019), pp. 524--531, ACM Press, Prague, Czech Republic, 13-17 July, 2019, ISBN 978-1-4503-6111-8.

  9. Luis Miguel Antonio, Carlos A. Coello Coello, Silvia González Brambila, Josué Figueroa González ad Guadalupe Castillo Tapia, Operational Decomposition for Large Scale Multi-objective Optimization Problems, in 2019 Genetic and Evolutionary Computation Conference (GECCO'2019) Companion, pp. 225--226, ACM Press, Prague, Czech Republic, 13-17 July, 2019, ISBN 978-1-4503-6748-6.

  10. Jorge Jiménez Montiel, Carlos A. Coello Coello and Ma. Guadalupe Castillo Tapia, A Proposal of a Multi-Objective Compact Particle Swarm Optimizer, in 2019 IEEE Symposium Series on Computational Intelligence (SSCI'2019), pp. 2279-2288, IEEE Press, Xiamen, China, December 4-9, 2019, ISBN 978-1-7281-2484-1.