Fuzzy Genetic Algorithms: Issues and Models
نویسندگان
چکیده
There are two possible ways for integrating Fuzzy Logic and Genetic Algorithms. One involves the application of Genetic Algorithms for solving optimization and search problems related with fuzzy systems. The another, the use of fuzzy tools and Fuzzy Logic-based techniques for modeling diierent Genetic Algorithm components and adapting Genetic Algorithm control parameters, with the goal of improving performance. The Genetic Algorithms resulting from this integration are called Fuzzy Genetic Algorithms. In this contribution, we tackle Fuzzy Genetic Algorithms by analyzing their deenition based on the Zadeh's concept of Fuzzy Algorithms and the two diierent meanings as Fuzzy Logic may be viewed. We review diierent approaches, attempt to identify some open issues and summarize a few new promising research directions on the topic.
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