A Study of the Parallel Hybrid Multilevel Genetic Algorithms for Geometrically Nonlinear Structural Optimization
碩士 === 國立中山大學 === 機械工程學系研究所 === 88 === The purpose of this study is to discuss the fitness of using PHMGA (Parallel Multilevel Hybrid Genetic Algorithm), which is a fast and efficient method, in the geometrically nonlinear structural optimization. Parallel genetic algorithms can solve the problem of...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2000
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| Online Access: | http://ndltd.ncl.edu.tw/handle/55203215225357019834 |