Mostrando 9 resultados de: 9
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Publisher
2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings(1)
2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010(1)
European Journal of Operational Research(1)
GECCO 2013 - Proceedings of the 2013 Genetic and Evolutionary Computation Conference Companion(1)
GECCO 2020 - Proceedings of the 2020 Genetic and Evolutionary Computation Conference(1)
Área temáticas
Programación informática, programas, datos, seguridad(7)
Métodos informáticos especiales(5)
Ciencias de la computación(3)
Origen
scopus(9)
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 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:scopusAdvances on many-objective evolutionary optimization
Conference ObjectAbstract:Palabras claves:Autores:Hernán E. AguirreFuentes: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:scopusOn the locality of dominance and recombination in multiobjective evolutionary algorithms
Conference ObjectAbstract: This work studies and compares the effects on performance of local dominance and local recombinationPalabras claves:Autores:Hernán E. Aguirre, Sato H., Tanaka K.Fuentes:scopusPareto partial dominance MOEA and hybrid archiving strategy included CDAS in many-objective optimization
Conference ObjectAbstract: In this work, we propose a novel multi-objective evolutionary algorithm (MOEA) that uses Pareto partPalabras claves:Autores:Hernán E. Aguirre, Sato H., Tanaka K.Fuentes:scopusLocal dominance MOEA including control of dominance area of solutions on 0/1 multiobjective knapsack problems
ArticleAbstract: Local dominance has been shown to improve significantly the overall performance of multiobjective evPalabras claves:Control of dominance area of solutions, Evolutionary multi and many objectives optimization, Local dominance, SelectionAutores:Hernán E. Aguirre, Sato H., Tanaka K.Fuentes:scopusWorking principles, behavior, and performance of MOEAs on MNK-landscapes
ArticleAbstract: This work studies the working principles, behavior, and performance of multiobjective evolutionary aPalabras claves:Discrete binary search spaces, drift, Epistasis, Evolutionary computations, MNK-Landscapes, Multiobjective combinatorial optimization, Multiobjective evolutionary algorithms, mutation, Non-linear multiobjective fitness functions, Recombination, SelectionAutores:Hernán E. Aguirre, Tanaka K.Fuentes:scopusδ-Similar elimination to enhance search performance of multiobjective evolutionary algorithms
ArticleAbstract: In this paper, we propose δ-similar elimination to improve the search performance of multiobjectivePalabras claves:Controlled elitism, Multiobjective evolutionary algorithms, Selection, δ-similar eliminationAutores:Hernán E. Aguirre, Sato M., Tanaka K.Fuentes:scopus