Fuzzy system identification through hybrid genetic algorithms

Proposes a new hybrid genetic algorithm for fuzzy system learning. The algorithm is based on Baldwin's (1896) effect, with the inclusion of biological principles of learning. Rather than considering mutation as a stochastic event, we take into account the results of biological experiences that...

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Bibliographische Detailangaben

Hauptverfasser:	Tcholakian, A.B., Martins, A., Pacheco, R.C.S., Barcia, R.M.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Adaptive systems Animals Biological information theory Biological system modeling Fuzzy systems Genetic algorithms Genetic mutations Mathematical model Production engineering Stochastic processes
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