Mostrando 8 resultados de: 8
Filtros aplicados
Publisher
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)
Área de conocimiento
Algoritmo(5)
Ciencias de la computación(3)
Optimización matemática(2)
Aprendizaje automático(1)
Energía(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: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: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: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:scopus