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Fuzzy logic-based diversity-controlled self-adaptive differential evolution

✍ Scribed by Amali, S. Miruna Joe; Baskar, S.

Book ID
120531514
Publisher
Taylor and Francis Group
Year
2013
Tongue
English
Weight
311 KB
Volume
45
Category
Article
ISSN
0305-215X

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This paper addresses the problem of tuning the input and the output parameters of a fuzzy logic controller. The system learns autonomously without supervision or a priori training data. Two novel techniques are proposed. The first technique combines Q(Ξ»)-learning with function approximation (fuzzy i