Mostrando 10 resultados de: 73
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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(27)
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2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010(2)
2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings(2)
2016 IEEE Congress on Evolutionary Computation, CEC 2016(2)
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scopus(73)
A Generator for Scalable SAT Constrained Multi-Objective Optimization Benchmark Problems
Conference ObjectAbstract: Benchmark problems play a key role in the development of Multi-Objective Evolutionary Algorithms, asPalabras claves:Autores:Hernán E. Aguirre, Ide F.H., Miyakawa M., Whitley D.Fuentes:scopusA closer look to elitism in ϵ-dominance many-objective optimization
Conference ObjectAbstract: Elitism is a common feature of many-objective optimizers and has a strong impact on the performancePalabras claves:Autores:Hernán E. Aguirre, Sano R., Tanaka K.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 hybrid scalarization and adaptive ε-ranking strategy for many-objective optimization
Conference ObjectAbstract: This work proposes a hybrid strategy in a two-stage search process for many-objective optimization.Palabras claves:Autores:Hernán E. Aguirre, Tanaka K.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:scopusA study on large population MOEA using adaptive ε-box dominance and neighborhood recombination for many-objective optimization
Conference ObjectAbstract: Multi-objective evolutionary algorithms are increasingly being investigated to solve many-objectivePalabras claves:Autores:Hernán E. Aguirre, Kowatari N., Oyama A., Tanaka K.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 study on the effects of rankings sensitive to density on many-objective MNK landscapes
Conference ObjectAbstract: This work investigates ε-ranking and ε-box non-domination sorting, two methods that incorporate ε-doPalabras claves:Autores:Hernán E. Aguirre, Tanaka K.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:scopus