Parameter Free Penalty Strategies and Gene Loss Free Crossover Scheme in Constrained Genetic Search
博士 === 國立臺灣科技大學 === 機械工程系 === 92 === Genetic Algorithms have been applied on many optimization problems with success and the most common strategy to handle constraints is penalty strategies. The success of the genetic search highly depends on appropriate selections of many operation parameters, espe...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2004
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Online Access: | http://ndltd.ncl.edu.tw/handle/67448182831362651091 |