Mostrando 4 resultados de: 4
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Publisher
2012 IEEE Congress on Evolutionary Computation, CEC 2012(1)
Applied Intelligence(1)
Engineering Applications of Artificial Intelligence(1)
Expert Systems with Applications(1)
Área de conocimiento
Algoritmo(1)
Ciencia de materiales(1)
Inteligencia artificial(1)
Material compuesto(1)
Optimización matemática(1)
Origen
scopus(4)
Analysis of the efficacy of a Two-Stage methodology for ant colony optimization: Case of study with TSP and QAP
ArticleAbstract: Ant Colony Optimization (ACO) is a bioinspired metaheuristic based on ants foraging used to solve diPalabras claves:Ant colony optimization, Assignation quadratic problem, traveling salesman problem, Two-Stage strategyAutores:Amilkar Puris, Bello R.R., Herrera F.Fuentes:scopusA panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects
ArticleAbstract: The17 Sustainable Development Goals (SDGs) established by the United Nations Agenda 2030 constitutePalabras claves:Artificial Intelligence, Emerging digital technologies, SUSTAINABLE DEVELOPMENT GOALSAutores:Alonso S., de Vargas J.P., Fernández B., García-Moral P., Herrera F., Juan Chiachío, Marchena R., Martínez-Cámara E., Melero F.J., Molina D., Montes R., Moral C., Palomares I., Ruano M.C.Fuentes:scopusOptimising real parameters using the information of a mesh of solutions: VMO algorithm
Conference ObjectAbstract: Population-based Meta-heuristics are algorithms that can obtain very good results for complex continPalabras claves:continuous optimisation, meta-heuristics, population meta-heuristics, variable mesh optimisationAutores:Amilkar Puris, Bello R.R., Herrera F., Molina D.Fuentes:scopusUncertainty quantification in Neural Networks by Approximate Bayesian Computation: Application to fatigue in composite materials
ArticleAbstract: Modern machine learning algorithms excel in a great variety of tasks, but at the same time, it is alPalabras claves:Approximate Bayesian Computation, Bayesian Neural Network, Gradient-free training, Non-parametric formulation, Subset simulation, uncertainty quantificationAutores:Fernández J., Herrera F., Juan Chiachío, Munoz R., Ruano M.C.Fuentes:scopus