Mostrando 9 resultados de: 9
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Publisher
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(2)
2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016(1)
Advances in Operations Research(1)
GECCO 2013 - Proceedings of the 2013 Genetic and Evolutionary Computation Conference Companion(1)
GECCO 2015 - Proceedings of the 2015 Genetic and Evolutionary Computation Conference(1)
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Ciencias de la computación(4)
Métodos informáticos especiales(3)
Programación informática, programas, datos, seguridad(3)
Biología(1)
Ciencias sociales(1)
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Evolución(3)
Optimización matemática(3)
Aprendizaje automático(1)
Simulación por computadora(1)
Origen
scopus(9)
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 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 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:scopusGlobal vs local search on multi-objective NK-landscapes: Contrasting the impact of problem features
Conference ObjectAbstract: Computationally hard multi-objective combinatorial optimization problems are common in practice, andPalabras claves:Autores:Daolio F., Hernán E. Aguirre, Liefooghe A., Tanaka K., Verel 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:scopusLearning variable importance to guide recombination
Conference ObjectAbstract: In evolutionary multi-objective optimization, variation operators are crucially important to producePalabras claves:Autores:Daolio F., Derbel B., Hernán E. Aguirre, Liefooghe A., Sagawa M., Tanaka K., Verel S.Fuentes:scopusTowards landscape-aware automatic algorithm configuration: Preliminary experiments on neutral and rugged landscapes
Conference ObjectAbstract: The proper setting of algorithm parameters is a well-known issue that gave rise to recent research iPalabras claves:Autores:Derbel B., Hernán E. Aguirre, Liefooghe A., Tanaka K., Verel S.Fuentes:scopusUnderstanding Population Dynamics in Multi- and Many-Objective Evolutionary Algorithms for High-Resolution Approximations
ArticleAbstract: Achieving a high-resolution approximation and hitting the Pareto optimal set with some if not all mePalabras claves:Autores:Derbel B., Hernán E. Aguirre, Liefooghe A., Monzón Maldonado H., Tanaka K., Verel S.Fuentes:scopusPopulation size and scalability in the AεSεH evolutionary many-objective algorithm
Conference ObjectAbstract: This work studies the effects of population size on performance scalability of the Adaptive ε-SampliPalabras claves:many-objective optimization, Population size, scalabilityAutores:Hernán E. Aguirre, Liefooghe A., Tanaka K., Verel S.Fuentes:scopus