Mostrando 6 resultados de: 6
Subtipo de publicación
Conference Object(6)
Publisher
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(2)
GECCO 2016 Companion - Proceedings of the 2016 Genetic and Evolutionary Computation Conference(1)
GECCO 2018 - Proceedings of the 2018 Genetic and Evolutionary Computation Conference(1)
GECCO 2020 - Proceedings of the 2020 Genetic and Evolutionary Computation Conference(1)
GECCO 2022 - Proceedings of the 2022 Genetic and Evolutionary Computation Conference(1)
Área temáticas
Programación informática, programas, datos, seguridad(4)
Ciencias de la computación(2)
Funcionamiento de bibliotecas y archivos(1)
Métodos informáticos especiales(1)
Origen
scopus(6)
A 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: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: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:scopusMulti-objective local search based on decomposition
Conference ObjectAbstract: It is generally believed that Local search (Ls) should be used as a basic tool in multi-objective evPalabras claves:Autores:Derbel B., Hernán E. Aguirre, Liefooghe A., Tanaka K., Zhang Q.Fuentes:scopusLocal search move strategies within MOEA/D
Conference ObjectAbstract: Local search (LS) is at the cornerstone of many advanced heuristics for single-objective combinatoriPalabras claves:decomposition, local search, multi-objective optimizationAutores:Derbel B., Hernán E. Aguirre, Liefooghe A., Tanaka K., Zhang Q.Fuentes:scopus