A hybrid parallel genetic algorithm for solving job-shop scheduling problems
The effort of searching an optimal solution for scheduling problems is important for real-world industrial applications especially for mission-time critical systems. In such an environment, an optimal result should be obtained within a relatively reasonable time. Genetic algorithms (GA) have long be...
| 第一著者: | |
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| フォーマット: | 学位論文 |
| 言語: | 英語 |
| 出版事項: |
2005
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| 主題: | |
| オンライン･アクセス: | http://eprints.utm.my/34719/1/GanTeckHuiMFKE2005.pdf |