A Study on Genetic Algorithm for Multiobjective Optimization Problem
碩士 === 國立臺灣科技大學 === 電子工程系 === 95 === An efficient genetic algorithm for the multiobjective optimization problems is proposed. To reduce the computational cost, a variant of k-d tree which is called marked k-d tree is used in our approach. And we also use the unconstrained archive to preserve all non...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2007
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| Online Access: | http://ndltd.ncl.edu.tw/handle/dv7jqj |