Mostrando 4 resultados de: 4
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Subtipo de publicación
Conference Object(4)
Publisher
GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion(1)
GECCO 2020 Companion - Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion(1)
GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion(1)
GECCO 2022 Companion - Proceedings of the 2022 Genetic and Evolutionary Computation Conference(1)
Área temáticas
Biblioteconomía y Documentación informatica(1)
Ciencias de la computación(1)
Dirección general(1)
Física aplicada(1)
Métodos informáticos especiales(1)
Área de conocimiento
Energía(2)
Algoritmo(1)
Ciencias de la computación(1)
Energía renovable(1)
Ingeniería energética(1)
Objetivos de Desarrollo Sostenible
ODS 7: Energía asequible y no contaminante(4)
ODS 9: Industria, innovación e infraestructura(4)
ODS 11: Ciudades y comunidades sostenibles(2)
ODS 13: Acción por el clima(2)
Origen
scopus(4)
CUMDANCAUChY-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: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: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