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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(5)
GECCO 2017 - Proceedings of the 2017 Genetic and Evolutionary Computation Conference(2)
GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion(2)
GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion(2)
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scopus(21)
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:scopusComparison of parameter control mechanisms in multi-objective differential evolution
Conference ObjectAbstract: Differential evolution (DE) is a powerful and simple algorithm for single- and multi-objective optimPalabras claves:Comparative Study, Differential Evolution, multi-objective optimization, Parameter controlAutores:Akimoto Y., Drozdik M., Hernán E. Aguirre, Tanaka K.Fuentes:scopusComputational 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:scopusBi-objective evolutionary optimization of level of service in urban transportation based on traffic density
ArticleAbstract: This work investigates levels of service in urban transportation coupling a multi-objective evolutioPalabras claves:evolutionary computing, level of service, multi-objective optimization, sustainable transport systemsAutores:Hernán E. Aguirre, Rolando Armas, Tanaka K.Fuentes:scopusAn analysis of differential evolution parameters on rotated bi-objective optimization functions
ArticleAbstract: Differential evolution (DE) is a very powerful and simple algorithm for single- and multi-objectivePalabras claves:Differential Evolution, multi-objective optimization, Parameter analysis, Rotational invarianceAutores:Derbel A.B., Drozdik M., Hernán E. Aguirre, Liefooghe A., Tanaka K., Verel S.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:scopusApproximating pareto set topology by cubic interpolation on bi-objective problems
Conference ObjectAbstract: Difficult Pareto set topology refers to multi-objective problems with geometries of the Pareto set sPalabras claves:Difficult Pareto set topology, evolutionary algorithm, Interpolation, multi-objective optimizationAutores:Derbel B., Hernán E. Aguirre, Liefooghe A., Marca Y., Tanaka K., Verel S., Zapotecas-Martínez S.Fuentes:scopusExploring the decision and objective space of SAT constrained multi-objective problems
Conference ObjectAbstract: Although most real-world problems include many constraints that limit the set of feasible solutions,Palabras claves:benchmark problems, Evolutionary algorithms, multi-objective optimization, SAT constraintsAutores:Hernán E. Aguirre, Ide F.H., Miyakawa M., Whitley D.Fuentes:scopusEvolutionary multi-objective optimization to attain practically desirable solutions
Conference ObjectAbstract: This work investigates two methods to search practically desirable solutions expanding the objectivePalabras claves:Evolutionary multi-objective algorithms, multi-objective optimization, Practically desirable solutionsAutores:Hernán E. Aguirre, Koishi M., Kusuno N., Tanaka K.Fuentes:scopusDynamic Compartmental Models for Large Multi-objective Landscapes and Performance Estimation
Conference ObjectAbstract: Dynamic Compartmental Models are linear models inspired by epidemiology models to study Multi- and MPalabras claves:compartmental models, Hypervolume estimation, Modeling, multi-objective optimization, Population dynamicsAutores:Derbel B., Hernán E. Aguirre, Liefooghe A., Monzón H., Tanaka K., Verel S.Fuentes:scopus