Structural Optimization Using Genetic Algorithms with Fuzzy Rules
博士 === 國立臺灣大學 === 機械工程學研究所 === 94 === This thesis presents two fuzzy rules employed to adapt both parameters of genetic operators and penalty factor in genetic algorithms for optimum design of structures. Namely, one system adjusts the crossover rate as well as the mutation rate dynamically accordin...
| Main Authors: | , |
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2006
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| Online Access: | http://ndltd.ncl.edu.tw/handle/14259379352933239695 |