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Applied Soft Computing(1)
EAI/Springer Innovations in Communication and Computing(1)
GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion(1)
Investigacion Operacional(1)
Journal of Intelligent and Fuzzy Systems(1)
Área temáticas
Ciencias de la computación(5)
Biblioteconomía y Documentación informatica(1)
Métodos informáticos especiales(1)
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Ciencias de la computación(3)
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scopus(5)
Cellular estimation Gaussian algorithm for continuous domain
ArticleAbstract: Optimization algorithms are important in problems of pattern recognition and artificial intelligencePalabras claves:Cellular EDA, GAUSSIAN networks, Learning, Probabilistic graph modelAutores:Quintana J.M., Rodríguez-González A.Y., Stephen Jones Barigye, Yoan Martínez LópezFuentes:scopusCellular estimation bayesian algorithm for discrete optimization problems
ArticleAbstract: In this paper, a new Cellular Estimation Bayesian Algorithm for discrete optimization problems is prPalabras claves:Bayesian networks, Cellular EDAs, evolutionary algorithm, LearningAutores:Mahdi G.S.S., Quintana J.M., Rodríguez-González A.Y., Yoan Martínez LópezFuentes:scopusWCCI/GECCO 2020 Competition on Evolutionary Computation in the Energy Domain: An overview from the winner perspective
ArticleAbstract: Evolutionary computation is attracting attention in the energy domain as an alternative to tackle inPalabras claves:Estimation distribution algorithms, Evolutionary algorithms, Optimization, smart grids, Statistical AnalysisAutores:Lezama F., Quintana J.M., Rodríguez-González A.Y., Soares J., Vale Z., Yoan Martínez LópezFuentes:scopusRing cellular encode-decode UMDA: Simple is effective
Conference ObjectAbstract: The management of today's smart grids is a challenge due to the stochastic nature of renewable energPalabras claves:cellular estimation distribution algorithms, Evolutionary computation, smart grids, uncertain environmentsAutores:Aranda R., Barajas S., Quintana J.M., Rodríguez-González A.Y., Yoan Martínez LópezFuentes:scopusSmote-cov: A new oversampling method based on the covariance matrix
Conference ObjectAbstract: Nowadays, many machine learning tasks involve learning from imbalanced datasets, leading to misclassPalabras claves:Attribute dependency, Covariance matrix, Imbalanced datasets, OversamplingAutores:Hernández-Nieto J.C., Leguen-deVarona I., Quintana J.M., Yoan Martínez LópezFuentes:scopus