Mostrando 10 resultados de: 22
Publisher
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(8)
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)
2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016(1)
Advances in Operations Research(1)
Área temáticas
Ciencias de la computación(12)
Programación informática, programas, datos, seguridad(8)
Métodos informáticos especiales(4)
Ciencias sociales(2)
Matemáticas(2)
Área de conocimiento
Optimización matemática(13)
Algoritmo(10)
Modelo matemático(3)
Aprendizaje automático(2)
Evolución(2)
Objetivos de Desarrollo Sostenible
ODS 9: Industria, innovación e infraestructura(22)
ODS 8: Trabajo decente y crecimiento económico(12)
ODS 4: Educación de calidad(10)
Origen
scopus(22)
A 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:scopusClosed 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: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:scopusDominance, indicator and decomposition based search for multi-objective qap: Landscape analysis and automated algorithm selection
Conference ObjectAbstract: We investigate the properties of large-scale multi-objective quadratic assignment problems (mQAP) anPalabras claves:Autores:Derbel B., Hernán E. Aguirre, Liefooghe A., Tanaka K., Verel S.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:scopusDynamic compartmental models for algorithm analysis and population size estimation
Conference ObjectAbstract: Dynamic Compartmental Models (DCM) can be used to study the population dynamics of Multi- and Many-oPalabras claves:compartmental models, empirical study, Genetic Algorithms, Modeling, multi-objective optimization, Working principles of evolutionary computingAutores:Derbel B., Hernán E. Aguirre, Liefooghe A., Monzón H., Tanaka K., Verel S.Fuentes:scopusGeometric differential evolution in MOEA/D: A preliminary study
Conference ObjectAbstract: The multi-objective evolutionary algorithm based on decomposition (MOEA/D) is an aggregation-based aPalabras claves:Autores:Derbel B., Hernán E. Aguirre, Liefooghe A., Tanaka K., Zapotecas-Martínez S.Fuentes:scopusEstimating relevance of variables for effective recombination
Conference ObjectAbstract: Dominance, extensions of dominance, decomposition, and indicator functions are well-known approachesPalabras claves:Evolutionary multi-objective optimization, Recombination operators, Variables classification, Variables selectionAutores:Derbel B., Hernán E. Aguirre, Ito T., Liefooghe A., Tanaka K., Verel S.Fuentes:scopusInjecting CMA-ES into MOEA/D
Conference ObjectAbstract: MOEA/D is an aggregation-based evolutionary algorithm which has been proved extremely efficient andPalabras claves:Covariance matrix adaption evolution strategy, Decomposition-based moeas, multi-objective optimizationAutores:Brockhoff D., Derbel B., Hernán E. Aguirre, Liefooghe A., Tanaka K., Zapotecas-Martínez S.Fuentes:scopus