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...
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| Format: | Thesis |
| Language: | English |
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2005
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| Online Access: | http://eprints.utm.my/34719/1/GanTeckHuiMFKE2005.pdf |