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Applied Soft Computing(1)
EAI Endorsed Transactions on Energy Web(1)
EAI/Springer Innovations in Communication and Computing(1)
Engineering Applications of Artificial Intelligence(1)
GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion(1)
Constraints Learning Univariate Estimation of Distribution Algorithm on the Multi-mode Project Scheduling Problem
Book PartAbstract: Project Scheduling Problems (PSP) constitute a family of problems that includes different variants,Palabras claves:Multi-mode project scheduling problem, project management, Univariate marginal estimation of distribution algorithmAutores:Al-subhi S.S.H., Mahdi G.S.S., Piñero Pérez P.Y., Quintana J.M., Roberto Garcia VacacelaFuentes:googlescopusCellular 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:scopusCellular estimation of distribution algorithm designed to solve the energy resource management problem under uncertainty
ArticleAbstract: The Energy Resource Management (ERM) can be modeled as a Mixed-Integer Non-Linear Problem whose aimPalabras claves:Energy resource management, Estimation of distribution algorithm, evolutionary algorithm, smart Grid, UNCERTAINTYAutores:Bethencourt Mayedo M., Lezama F., Quintana J.M., Rodríguez-González A.Y., Yoan Martínez LópezFuentes: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: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