Mostrando 10 resultados de: 37
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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(17)
GECCO 2015 - Proceedings of the 2015 Genetic and Evolutionary Computation Conference(2)
GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion(2)
GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion(2)
2013 IEEE Congress on Evolutionary Computation, CEC 2013(1)
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scopus(37)
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:scopusAn analysis of differential evolution parameters on rotated bi-objective optimization functions
ArticleAbstract: Differential evolution (DE) is a very powerful and simple algorithm for single- and multi-objectivePalabras claves:Differential Evolution, multi-objective optimization, Parameter analysis, Rotational invarianceAutores:Derbel A.B., Drozdik M., Hernán E. Aguirre, Liefooghe A., Tanaka K., Verel S.Fuentes:scopusAn analysis on selection for high-resolution approximations in many-objective optimization
ArticleAbstract: This work studies the behavior of three elitist multi- and many-objective evolutionary algorithms gePalabras claves:Autores:Hernán E. Aguirre, Liefooghe A., Tanaka K., Verel S.Fuentes:scopusA feature-based performance analysis in evolutionary multiobjective optimization
Conference ObjectAbstract: This paper fundamentally investigates the performance of evolutionary multiobjective optimization (EPalabras claves:Autores:Daolio F., Hernán E. Aguirre, Liefooghe A., Tanaka K., Verel S.Fuentes:scopusA fitness landscape analysis of Pareto local search on bi-objective permutation flowshop scheduling problems
Conference ObjectAbstract: We study the difficulty of solving different bi-objective formulations of the permutation flowshop sPalabras claves:Autores:Derbel B., Hernán E. Aguirre, Liefooghe A., Tanaka K., Verel S.Fuentes:scopusA set-oriented MOEA/D
Conference ObjectAbstract: The working principles of the well-established multi-objective evolutionary algorithm Moea/d reliesPalabras claves:Combinatorial optimization, decomposition, Evolutionary algorithms, many-objective optimization, Multi-Autores:Derbel B., Hernán E. Aguirre, Liefooghe A., Tanaka K., Verel S., Zhang Q.Fuentes:scopusA study on population size and selection lapse in many-objective optimization
Conference ObjectAbstract: In this work we study the effects of population size on selection and performance scalability of twoPalabras claves:Autores:Hernán E. Aguirre, Liefooghe A., 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:scopusCost-vs-accuracy of sampling in multi-objective combinatorial exploratory landscape analysis
Conference ObjectAbstract: The design of effective features enabling the development of automated landscape-aware techniques rePalabras claves:automated algorithm selection, landscape analysis, multi-objective optimization, NK-landscapesAutores:Cosson R., Derbel B., Hernán E. Aguirre, Liefooghe A., Tanaka K., Verel S., Zhang Q.Fuentes:scopusDecomposition-Based Multi-objective Landscape Features and Automated Algorithm Selection
Conference ObjectAbstract: Landscape analysis is of fundamental interest for improving our understanding on the behavior of evoPalabras claves:Autores:Cosson R., Derbel B., Hernán E. Aguirre, Liefooghe A., Tanaka K., Zhang Q.Fuentes:scopus