Adapting the gain of an FLC with genetic algorithms
نویسندگان
چکیده
منابع مشابه
Adapting Gain and Sensibility of FLCs with Genetic Algorithms
Fuzzy Logic Controllers are knowledge-based systems, incorporating human knowledge into their Knowledge Base through Fuzzy Rules and Fuzzy Membership Functions (among other information elements). The deenition of these Fuzzy Rules and Fuzzy Membership Functions is actually aaected by subjective decisions, having a great innuence over the performance of the Fuzzy Controller. This paper describes...
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15 صفحه اولAdapting the Gain of anFLC with
Fuzzy Logic Controllers are knowledge-based systems, incorporating human knowledge into their Knowledge Base through Fuzzy Rules and Fuzzy Membership Functions. The deenition of these Fuzzy Rules and Fuzzy Membership Functions is generally aaected by subjective decisions, having a great innuence over the performance of the Fuzzy Controller. In some cases, the Membership Functions are deened wit...
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In the vast majority of genetic algorithm implementations, the operator probabilities are xed throughout a given run. However, it can be convincingly argued that these probabilities should vary over the course of a genetic algorithm run | so as to account for changes in the ability of the operators to produce children of increased tness. This dissertation describes an empirical investigation in...
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In the majority of genetic algorithm implementations, the operator settings are fixed throughout a given run. However, it has been argued that these settings should vary over the course of a genetic algorithm run--so as to account for changes in the ability of the operators to produce children of increased fitness. This paper describes an investigation into this question. The effect upon geneti...
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ژورنال
عنوان ژورنال: International Journal of Approximate Reasoning
سال: 1997
ISSN: 0888-613X
DOI: 10.1016/s0888-613x(97)00001-7