Comments on "Constraining the optimization of a fuzzy logic controller"
| dc.citation.epage | 666 | en_US |
| dc.citation.issue | 4 | en_US |
| dc.citation.spage | 663 | en_US |
| dc.citation.volume | 31 | en_US |
| dc.citation.woscount | 0 | |
| dc.contributor.author | Wu, MD | en_US |
| dc.contributor.author | Sun, CT | en_US |
| dc.contributor.department | 資訊工程學系 | zh_TW |
| dc.contributor.department | Department of Computer Science | en_US |
| dc.date.accessioned | 2014-12-08T15:43:35Z | |
| dc.date.available | 2014-12-08T15:43:35Z | |
| dc.date.issued | 2001-08-01 | en_US |
| dc.description.abstract | 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. | en_US |
| dc.identifier.doi | 10.1109/3477.938270 | en_US |
| dc.identifier.issn | 1083-4419 | en_US |
| dc.identifier.journal | IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS | en_US |
| dc.identifier.uri | http://dx.doi.org/10.1109/3477.938270 | en_US |
| dc.identifier.uri | https://ir.lib.nycu.edu.tw/handle/11536/29473 | |
| dc.identifier.wosnumber | WOS:000170320400017 | |
| dc.language.iso | en_US | en_US |
| dc.subject | fuzzy modeling | en_US |
| dc.subject | genetic algorithms | en_US |
| dc.subject | polyploidy | en_US |
| dc.title | Comments on "Constraining the optimization of a fuzzy logic controller" | en_US |
| dc.type | Article | en_US |