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2016 IEEE Congress on Evolutionary Computation, CEC 2016(1)
Evolutionary Computation(1)
GECCO 2015 - Proceedings of the 2015 Genetic and Evolutionary Computation Conference(1)
IEEE Transactions on Evolutionary Computation(1)
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(1)
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Ciencias de la computación(3)
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scopus(7)
A 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:scopusGlobal vs local search on multi-objective NK-landscapes: Contrasting the impact of problem features
Conference ObjectAbstract: Computationally hard multi-objective combinatorial optimization problems are common in practice, andPalabras claves:Autores:Daolio F., Hernán E. Aguirre, Liefooghe A., Tanaka K., Verel S.Fuentes:scopusEvolutionary design optimisation of traffic signals applied to quito city
Book PartAbstract: This chapter applies evolutionary computation and machine learning methods to study the transportatiPalabras claves:Design Optimization, evolutionary algorithm, Machine learning methods, Quito city, Traffic lightsAutores:Daolio F., Hernán E. Aguirre, Rolando Armas, Tanaka K.Fuentes:scopusLandscape-Aware Performance Pbkp_rediction for Evolutionary Multiobjective Optimization
ArticleAbstract: We expose and contrast the impact of landscape characteristics on the performance of search heuristiPalabras claves:Black-box combinatorial optimization, evolutionary multiobjective optimization (EMO), feature-based performance pbkp_rediction, problem difficulty and landscape analysisAutores:Daolio F., Derbel B., Hernán E. Aguirre, Liefooghe A., Tanaka K., Verel S.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:scopusTraffic signal optimization and coordination using neighborhood mutation
Conference ObjectAbstract: Urban planners face increasing challenges to design and optimize sustainable cities. Evolutionary alPalabras claves:Autores:Daolio F., Hernán E. Aguirre, Rolando Armas, Tanaka K.Fuentes:scopusProblem features versus algorithm performance on rugged multiobjective combinatorial fitness landscapes
ArticleAbstract: In this article, we attempt to understand and to contrast the impact of problem features on the perfPalabras claves:Black-box 0-1 multiobjective problems, Empirical performance modeling, Evolutionary multiobjective optimization, Feature-based analysis, Fitness landscape and problem difficulty, Multilevel multivariate analysis, Random-effects mixed modelsAutores:Daolio F., Hernán E. Aguirre, Liefooghe A., Tanaka K., Verel S.Fuentes:scopus