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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: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: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: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:scopusState of the art review and report of new tool for drug discovery
ReviewAbstract: Background: There are a great number of tools that can be used in QSAR/QSPR studies; they are implemPalabras claves:aggregation, Atomic weighted vector, multiple linear regression, Operator, principal components analysis, QSAR, variabilityAutores:Caballero Y., Garit J., Millán-Cabrera R., Quintana J.M., Stephen Jones Barigye, Torrens F., Yoan Martínez López, Yovani Marrero-PonceFuentes: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: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: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