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Otimização de controladores nebulosos e sistemas especialistas reativos utilizando algoritmos genéticos

Eder Mateus Nunes GonçalvesAugusto Loureiro da CostaGuilherme Bittencourt

This work presents the development of a tool for fuzzy control and reactive expert system parameters otimization using genetic algorithms. This tool allows the use of genetic algorithms to determine the optimal values to the fuzzy control and to the expert system parameters, responsible, respectively, by the reactive behaviour and by the instintive behaviour of the UFSC-Team agents. Therefore, the controlers can be implemented intuitively and than optimized through an evolutive process using a genetic algorithm. This represents a significant gain in the development time and efficiency, with respect to the implementation process of these controllers and expert systems. Clique no link abaixo para buscar o texto completo deste trabalho na Web: Buscar na Web

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