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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(2)
2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings(1)
6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012(1)
Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004(1)
World Automation Congress Proceedings(1)
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Programación informática, programas, datos, seguridad(4)
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scopus(6)
Genetic diversity and effective crossover in evolutionary many-objective optimization
Conference ObjectAbstract: In this work, we analyze genetic diversity of Pareto optimal solutions (POS) and study effective croPalabras claves:Autores:Hernán E. Aguirre, Sato H., Tanaka K.Fuentes:scopusDynamic control of the number of crossed genes in evolutionary many-objective optimization
Conference ObjectAbstract: When multi-objective evolutionary algorithms (MOEAs) are applied to many-objective optimization probPalabras claves:Autores:Coello Coello C.A., Hernán E. Aguirre, Sato H., Tanaka K.Fuentes:scopusOn the locality of dominance and recombination in multiobjective evolutionary algorithms
Conference ObjectAbstract: This work studies and compares the effects on performance of local dominance and local recombinationPalabras claves:Autores:Hernán E. Aguirre, Sato H., Tanaka K.Fuentes:scopusLocal dominance using polar coordinates to enhance multiobjective evolutionary algorithms
Conference ObjectAbstract: In this paper, we propose a calculation method of local dominance and enhance multiobjective evolutiPalabras claves:Autores:Hernán E. Aguirre, Sato H., Tanaka K.Fuentes:scopusSelf-controlling dominance area of solutions in evolutionary many-objective optimization
Conference ObjectAbstract: Controlling dominance area of solutions (CDAS) relaxes the concepts of Pareto dominance with an userPalabras claves:Autores:Hernán E. Aguirre, Sato H., Tanaka K.Fuentes:scopusRoles of CCG crossover and mutation in evolutionary many-objective optimization
Conference ObjectAbstract: When we solve many-objective optimization problems (MaOPs) by using multi-objective evolutionary algPalabras claves:Autores:Hernán E. Aguirre, Sato H., Tanaka K.Fuentes:scopus