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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(4)
2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings(1)
2016 IEEE Congress on Evolutionary Computation, CEC 2016(1)
GECCO 2016 - Proceedings of the 2016 Genetic and Evolutionary Computation Conference(1)
GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion(1)
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Ciencias de la computación(5)
Programación informática, programas, datos, seguridad(3)
Análisis(2)
Denominaciones y sectas de la Iglesia cristiana(1)
Matemáticas(1)
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scopus(8)
Analysis and comparison of multi-objective evolutionary approaches on the multi-objective 1/0 unit commitment problem
Conference ObjectAbstract: In this paper, we analyze the behavior and compare the performance of three state-of-the-art Multi-oPalabras claves:Autores:Hernán E. Aguirre, Jacquin S., Tanaka K., Zapotecas-Martínez S.Fuentes:scopusApproaches for many-objective optimization: Analysis and comparison on MNK-landscapes
Conference ObjectAbstract: This work analyses the behavior and compares the performance of MOEA/D, IBEA using the binary additiPalabras claves:Autores:Hernán E. Aguirre, Liefooghe A., Tanaka K., Verel S., Zapotecas-Martínez S.Fuentes:scopusApproximating pareto set topology by cubic interpolation on bi-objective problems
Conference ObjectAbstract: Difficult Pareto set topology refers to multi-objective problems with geometries of the Pareto set sPalabras claves:Difficult Pareto set topology, evolutionary algorithm, Interpolation, multi-objective optimizationAutores:Derbel B., Hernán E. Aguirre, Liefooghe A., Marca Y., Tanaka K., Verel S., Zapotecas-Martínez S.Fuentes:scopusGeometric differential evolution in MOEA/D: A preliminary study
Conference ObjectAbstract: The multi-objective evolutionary algorithm based on decomposition (MOEA/D) is an aggregation-based aPalabras claves:Autores:Derbel B., Hernán E. Aguirre, Liefooghe A., Tanaka K., Zapotecas-Martínez S.Fuentes:scopusGeometric particle swarm optimization for multi-objective optimization using decomposition
Conference ObjectAbstract: Multi-objective evolutionary algorithms (MOEAs) based on decomposition are aggregation-based algoritPalabras claves:Decomposition-based moeas, Multi-objective combinatorial optimization, Particle Swarm OptimizationAutores:Hernán E. Aguirre, Moraglio A., Tanaka K., Zapotecas-Martínez S.Fuentes:scopusOn the low-discrepancy sequences and their use in MOEA/D for high-dimensional objective spaces
Conference ObjectAbstract: In spite of the success of the multi-objective evolutionary algorithm based on decomposition (MOEA/DPalabras claves:Autores:Coello Coello C.A., Hernán E. Aguirre, Tanaka K., Zapotecas-Martínez S.Fuentes:scopusPareto dominance-based MOEAs on problems with difficult pareto set topologies
Conference ObjectAbstract: Despite the extensive application of multi-objective evolutionary algorithms (MOEAs) to solve multi-Palabras claves:Differential Evolution, multi-objective optimization, Recombination operators, Selection, Working principles of evolutionary computingAutores:Derbel B., Hernán E. Aguirre, Liefooghe A., Marca Y., Tanaka K., Verel S., Zapotecas-Martínez S.Fuentes:scopusUsing a family of curves to approximate the pareto front of a multi-objective optimization problem
ArticleAbstract: The design of selection mechanisms based on quality assessment indicators has become one of the mainPalabras claves:Autores:Coello Coello C.A., Hernán E. Aguirre, Sosa Hernández V.A., Tanaka K., Zapotecas-Martínez S.Fuentes:scopus