Mostrando 6 resultados de: 6
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Publisher
2014 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2014(1)
2016 IEEE Congress on Evolutionary Computation, CEC 2016(1)
GECCO 2015 - Proceedings of the 2015 Genetic and Evolutionary Computation Conference(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)
Área temáticas
Ciencias de la computación(3)
Programación informática, programas, datos, seguridad(2)
Funcionamiento de bibliotecas y archivos(1)
Matemáticas(1)
Métodos informáticos especiales(1)
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scopus(6)
A Review of Features and Limitations of Existing Scalable Multiobjective Test Suites
ArticleAbstract: In multiobjective optimization, a scalable test problem is one that can be formulated for an arbitraPalabras claves:Evolutionary algorithms, many-objective optimization, scalable multiobjective test problemsAutores:Coello Coello C.A., Hernán E. Aguirre, Tanaka K., Zapotecas-Martínez S.Fuentes:scopusA refinement mechanism to improve particle swarm optimization
Conference ObjectAbstract: Due to its simplicity and effectiveness in solving many optimization problems, Particle Swarm OptimiPalabras claves:Hybrid algorithms, Local search mechanism, Particle Swarm OptimizationAutores:Hernán E. Aguirre, Tan W.R., Tanaka K., Zapotecas-Martínez S.Fuentes:scopusGenetic algorithm assisted by a SVM for feature selection in gait classification
Conference ObjectAbstract: Feature selection is considered an important step for gait pattern recognition. The task of a gait cPalabras claves:feature selection, Gait classification, genetic algorithm (GA), support vector machine (SVM)Autores:Akimoto Y., Hernán E. Aguirre, Tanaka K., Yeoh T.W., 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: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:scopusInjecting CMA-ES into MOEA/D
Conference ObjectAbstract: MOEA/D is an aggregation-based evolutionary algorithm which has been proved extremely efficient andPalabras claves:Covariance matrix adaption evolution strategy, Decomposition-based moeas, multi-objective optimizationAutores:Brockhoff D., Derbel B., Hernán E. Aguirre, Liefooghe A., Tanaka K., Zapotecas-Martínez S.Fuentes:scopus