Otimização por Algoritmos Genéticos e Simulated Annealing após Tratamento de Dados por Sistemas Neuro-Fuzzy

Título: Otimização por Algoritmos Genéticos e Simulated Annealing após Tratamento de Dados por Sistemas Neuro-Fuzzy

Autores: Cuenca, Walter M.; Carneiro Jr., Sandoval; Cheim, Luis A.; Calôba, Luis P.

Resumo: A great part of the scientific applications and of the engineering problems, they can be considered as search and optimization problems. Due to need to obtain better results in these problems, several tools were developed looking for the optimal global. Search methods have been developed based on natural and physical processes. The most usual are: Genetic Algorithm (AG) and Simulated Annealing (SA). In this paper applies AG and SA separately, with the objective of reinforcing the performance of the Neuro-Fuzzy system in a function approximation problem, whose improvement and efficiency shown the results.

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Páginas: 6

Código DOI: 10.21528/CBRN2001-043

Artigo em pdf: 5cbrn_043.pdf

Arquivo BibTex: 5cbrn_043.bib