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Fuzzy Logic Controlled Differential Evolution: Survey in Soft Computing Framework

Year: 1390
Language: EnglishView: 1,277
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Ali Hasanzade - Department of Electrical Engineering, Shahid Bahonar University, Kerman, Iran
S. M. A Mohammadi
Ali Akbar Gharaveisi


In recent years, soft computing methods have generated a large research interest. The synthesis of the fuzzy logic and the evolutionary algorithms(EAs) is one of these methods. A particular EA is differential evolution(DE). As for any EA, DE algorithm also require parameters tuning to achieve desirableperformance. In this paper tuning the parameters of DE is done with a Fuzzy Logic Controller (FLC) that adjust these parametersdynamically. The fuzzy logic Controlled differential evolution (FLC-DE) is applied to a suite of benchmark functions and The proposed method has been compared with the DE and some wellknown heuristic search methods. We show that the FLC-DE obtains better results in the majority of the testing examples.


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Hasanzade, Ali and Mohammadi, S. M. A and Gharaveisi, Ali Akbar,1390,Fuzzy Logic Controlled Differential Evolution: Survey in Soft Computing Framework,2nd National conference on Soft Computing and Information Technology (NCSCIT2012),Mahshahr,

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  • E. Rashedi, H. Nezamabad and S. Saryazdi, "GSA: A Gravitationl ...
  • V. Feoktistov, "Differential Evolution: In Search of Solutions" Springer, New ...
  • K.V. Price, R.M. Storn, J.A. Lampinen, "Differential Evolution, A Practical ...
  • R.M. Storn, K.V. Price, "Differential Evolution -A Simple and Efficient ...
  • J. Liu, J. Lampinen, "A Fuzzy Adaptive Differential Evolution Algorithm", ...
  • J. Teo, "Exploring dynamic self-adaptive populations in differential evolution", Soft ...

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