Mostrando 10 resultados de: 11
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IEEE Transactions on Evolutionary Computation(2)
2010 World Automation Congress, WAC 2010(1)
Annals of Mathematics and Artificial Intelligence(1)
Evolutionary Intelligence(1)
GECCO 2013 - Proceedings of the 2013 Genetic and Evolutionary Computation Conference(1)
Área temáticas
Programación informática, programas, datos, seguridad(5)
Ciencias de la computación(2)
Métodos informáticos especiales(2)
Probabilidades y matemática aplicada(2)
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Origen
scopus(11)
Computational Cost Reduction of Nondominated Sorting Using the M-Front
ArticleAbstract: Many multiobjective evolutionary algorithms rely on the nondominated sorting procedure to determinePalabras claves:Computational cost reduction, Data structures, Evolutionary computation, K-d tree, many-objective optimization, multi-objective optimization, Nearest neighbor searches, Non-dominated sorting, Pareto optimizationAutores:Akimoto Y., Drozdik M., Hernán E. Aguirre, Tanaka K.Fuentes:scopusAttempt to reduce the computational complexity in multi-objective differential evolution algorithms
Conference ObjectAbstract: Nondominated sorting and diversity estimation procedures are an essential part of many multiobjectivPalabras claves:Crowding distance, Differential Evolution, K-d tree, many-objective optimization, Nondominated sorting, Skip listAutores:Drozdik M., Hernán E. Aguirre, Tanaka K.Fuentes:scopusA 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 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 interval to swtich combination of objectives considered in pareto partial dominance MOEA
Conference ObjectAbstract: Pareto partial dominance MOEA (PPD-MOEA) ranks individuals in the population by using only r (<m) obPalabras claves:Interval generation, many-objective optimization, MOEA, Pareto partial dominanceAutores:Hernán E. Aguirre, Sato H., Tanaka K.Fuentes:scopusAdaptive ε-Ranking on many-objective problems
ArticleAbstract: This work proposes Adaptive ε-Ranking to enhance Pareto based selection, aiming to develop effectivePalabras claves:Adaptation, Epistasis, many-objective optimization, Selection, ε-RankingAutores:Hernán E. Aguirre, Tanaka K.Fuentes:scopusObjective space partitioning using conflict information for solving many-objective problems
ArticleAbstract: We present an algorithm that partitions the objective space based on an analysis of the conflict infPalabras claves:many-objective optimization, Multiobjective optimization, Objective conflict, Objective correlation, Space partitioningAutores:Coello Coello C.A., Hernán E. Aguirre, López Jaimes A., Tanaka K.Fuentes:scopusImproving multi-objective random one-bit climbers on MNK-landscapes
Conference ObjectAbstract: Multi-objective random one-bit climbers (moRBCs) are one class of stochastic local search-based algoPalabras claves:Adaptive ε-ranking, many-objective optimization, MNK-Landscapes, multi-objective optimization, Random bit climbersAutores:Hernán E. Aguirre, Pasia J., Tanaka K.Fuentes:scopusLearning Variable Importance to Guide Recombination on Many-Objective Optimization
Conference ObjectAbstract: There are numerous many-objective real-world problems in various application domains for which it isPalabras claves:evolutionary algorithm, Machine learning, many-objective optimization, multi-objective optimization, random forest, variable importanceAutores:Daolio F., Derbel B., Hernán E. Aguirre, Liefooghe A., Sagawa M., Tanaka K., Verel S.Fuentes:scopusVariable space diversity, crossover and mutation in MOEA solving many-objective knapsack problems
ArticleAbstract: In this work, we analyze variable space diversity of Pareto optimal solutions (POS) and study the efPalabras claves:Controlling the number of crossed genes, Local recombination, Many-objective 0/1 knapsack problem, many-objective optimization, Multiobjective evolutionary algorithmsAutores:Hernán E. Aguirre, Sato H., Tanaka K.Fuentes:scopus