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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)
Gecco 2019 Companion Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion(1)
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Física aplicada(2)
Métodos informáticos especiales(2)
Biblioteconomía y Documentación informatica(1)
Ciencias de la computación(1)
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Energía(2)
Optimización matemática(2)
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Energía renovable(1)
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ODS 9: Industria, innovación e infraestructura(5)
ODS 7: Energía asequible y no contaminante(4)
ODS 11: Ciudades y comunidades sostenibles(3)
ODS 13: Acción por el clima(2)
ODS 8: Trabajo decente y crecimiento económico(1)
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scopus(5)
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:scopusOptimizing Energy Operation and Planning using Ring Cellular Encode-Decode Univariate Marginal Distribution Algorithm
OtherAbstract: Efficient energy management is critical to building inclusive, safe, resilient, and sustainable citiPalabras claves:cellular estimation distribution algorithms, Evolutionary computation, smart grids, uncertain environmentsAutores:Álvarez-Carmona M., Angel Díaz-Pacheco, Aranda R., Julio Madera-Quintana, Rodríguez-González A.Y., Yoan Martínez LópezFuentes:scopus