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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:googlescopusCUMDANCAUChY-C1: A cellular EDA designed to solve the energy resource management problem under uncertainty
Conference ObjectAbstract: One step in the way to sustainable cities and society is the massive growth of electric vehicles andPalabras claves:cellular estimation distribution algorithms, Evolutionary computation, smart grids, uncertain environmentsAutores:Mayedo M.B., Morgado B., Moya A., Quintana J.M., Rodríguez-González A.Y., Yoan Martínez LópezFuentes:scopusCellular 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:scopusApplying ring cellular encode-decode UMDA to risk-based energy scheduling
Conference ObjectAbstract: One of the challenges to making cities and human settlements inclusive, safe, resilient, and sustainPalabras claves:cellular estimation distribution algorithms, Evolutionary computation, smart grids, uncertain environmentsAutores:Álvarez-Carmona M., Aranda R., 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:scopusAlgoritmo de estimación de distribución con tratamiento de restricciones en el modelo probabilístico en problemas de scheduling
ArticleAbstract: Proper management of projects has become an element of vital importance for the solution to problemsPalabras claves:Constraints handling, Estimation of Distribution Algorithms, Optimization, schedulingAutores:Al-subhi S.S.H., Iliana Pérez Pupo, Mahdi G.S.S., Piñero Pérez P.Y., Quintana J.M., Roberto Garcia VacacelaFuentes: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:scopus