Intelligent design of fuzzy logic controller using NSGA-II

This work proposes a new design method of fuzzy controllers with well-formed membership functions, minimal number of fuzzy rules and optimal values of scale factors. To achieve this goal, we use multiobjective genetic algorithms that optimize simultaneously the number of fuzzy rules through the cont...

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Bibliographische Detailangaben
Hauptverfasser:	Guenounou, O., Belmehdi, A., Dahhou, B., Belkherchi, N.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Automatic Automatic Control Engineering Biological cells Computer Science constraint Encoding Engineering Sciences Fuzzy logic fuzzy logic controller fuzzy rules Fuzzy sets Genetic algorithms NSGA-II Optimization Substrates Systems and Control
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