Speeding up DSMGA-II with heterogeneous parallelisms
碩士 === 國立臺灣大學 === 電機工程學研究所 === 105 === DSMGA-II has good performances on many benchmark problems. DSMGA-II builds a model by detecting the problem structure and uses two mixing operators to generate better offsprings. The model building is one of the factors to achieve such performances. However, th...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2017
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| Online Access: | http://ndltd.ncl.edu.tw/handle/sxuh65 |