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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