Mostrando 5 resultados de: 5
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Conference Object(5)
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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(2)
GECCO 2015 - Proceedings of the 2015 Genetic and Evolutionary Computation Conference(1)
GECCO 2017 - Proceedings of the 2017 Genetic and Evolutionary Computation Conference(1)
GECCO 2020 - Proceedings of the 2020 Genetic and Evolutionary Computation Conference(1)
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Funcionamiento de bibliotecas y archivos(2)
Programación informática, programas, datos, seguridad(2)
Ciencias de la computación(1)
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scopus(5)
Closed state model for understanding the dynamics of MOEAs
Conference ObjectAbstract: This work proposes the use of simple closed state models to capture, analyze and compare the dynamicPalabras claves:empirical study, Genetic Algorithms, multi-objective optimization, Working principles of evolutionary computingAutores:Derbel B., Hernán E. Aguirre, Liefooghe A., Monzón H., Tanaka K., Verel S.Fuentes:scopusA surrogate model based on walsh decomposition for pseudo-boolean functions
Conference ObjectAbstract: Extensive efforts so far have been devoted to the design of effective surrogate models aiming at redPalabras claves:Autores:Derbel B., Hernán E. Aguirre, Liefooghe A., Tanaka K., Verel S.Fuentes:scopusDesigning parallelism in surrogate-assisted multiobjective optimization based on decomposition
Conference ObjectAbstract: On the one hand, surrogate-assisted evolutionary algorithms are established as a method of choice foPalabras claves:Multiobjective optimization, Parallelism benchmarking, SurrogatesAutores:Berveglieri N., Derbel B., Hernán E. Aguirre, Liefooghe A., Tanaka K., Zhang Q.Fuentes:scopusEstimating relevance of variables for effective recombination
Conference ObjectAbstract: Dominance, extensions of dominance, decomposition, and indicator functions are well-known approachesPalabras claves:Evolutionary multi-objective optimization, Recombination operators, Variables classification, Variables selectionAutores:Derbel B., Hernán E. Aguirre, Ito T., Liefooghe A., Tanaka K., Verel 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