Realisation of Fuzzy-adaptive Genetic Algorithms in a Matlab Environment
نویسنده
چکیده
This paper discusses design of adaptive Genetic Algorithms (GA) on the base Fuzzy Inference System (FIS). There are two possible ways for integrating Fuzzy Logic and Genetic Algorithms. One involves the applications of Genetic Algorithms for solving optimization and search problem related with fuzzy systems. The another, the use of “fuzzy tools” for modeling and adapting Genetic Algorithm control parameters, with the goal of improving performance. The Genetic Algorithms resulting from this integration we called Genetic Algorithms with the Fuzzy Inference System (GA-FIS)
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