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GECCO 2020 Companion - Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion(1)
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scopus(5)
Cellular 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:scopusApplying some EDAs and hybrid variants to the ERM problem under uncertainty
Conference ObjectAbstract: The Energy Resource Management (ERM) under uncertainty of a smartgrid is a highly complex problem (aPalabras claves:cellular estimation distribution algorithms, Evolutionary computation, Hybrid techniques, smart grids, uncertain environmentsAutores:Mayedo M.B., Moya A., Quintana J.M., Rodríguez-González A.Y., Santiago O.M., Yoan Martínez LópezFuentes:scopusNuevo algoritmo de estimación de distribuciones con diferentes métodos de aprendizaje aplicado a planificación de proyectos
ArticleAbstract: This paper aims at proposing a Constraint-based Learning Estimation of Distribution Algorithm (EDA)Palabras claves:Constraints handling, Estimation of Distribution Algorithms, Metaheurístic, schedulingAutores:Al-subhi S.S.H., Iliana Pérez Pupo, Mahdi G.S.S., Piñero Pérez P.Y., Quintana J.M., Roberto Garcia VacacelaFuentes:scopusOver-sampling imbalanced datasets using the covariance matrix
ArticleAbstract: INTRODUCTION: Nowadays, many machine learning tasks involve learning from imbalanced datasets, leadiPalabras claves:Attribute dependency, Covariance matrix, Imbalanced datasets, OversamplingAutores:Hernández-Nieto J.C., Leguen-de Varona I., Quintana J.M., 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