On Adapting Migration Parameters for Multi-population Genetic Algorithms
碩士 === 義守大學 === 資訊管理學系碩士班 === 93 === In recent years, multi-population genetic algorithms (MGAs) have been recognized as being more effective both in speed and solution quality than single-population genetic algorithms (SGAs). Despite of these advantages, the behavior and performance of MGAs, like S...
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2005
|
| Online Access: | http://ndltd.ncl.edu.tw/handle/41249331805964350780 |