标题: Comments on "Constraining the optimization of a fuzzy logic controller"
作者: Wu, MD
Sun, CT
资讯工程学系
Department of Computer Science
关键字: fuzzy modeling;genetic algorithms;polyploidy
公开日期: 1-八月-2001
摘要: Genetic algorithms (GAs) are a highly effective and efficient means of solving optimization problems. Gene encoding, fitness landscape and genetic operations are vital to successfully developing a GA. Cheong and Lai(1) described a novel method, which employed an enhanced genetic algorithm with multiple populations, to optimize a fuzzy controller, and the experimental results revealed that their method was effective in producing a well-formed fuzzy rule-base. However, their encoding method and fitness function appear unnatural and inefficient. This study proposes an alternative method of concise genetic encoding and fitness design.
URI: http://dx.doi.org/10.1109/3477.938270
http://hdl.handle.net/11536/29473
ISSN: 1083-4419
DOI: 10.1109/3477.938270
期刊: IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
Volume: 31
Issue: 4
起始页: 663
结束页: 666
显示于类别:Articles


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