Application of Simulated Annealing and Discrete Particle Swarm Optimization Algorithm for Permutation Flow-Shop Problems
碩士 === 國立臺北科技大學 === 工業工程與管理研究所 === 97 === All the multi-objective scheduling problems are essentially NP-hard. It usually cost us much time to solve these problems. We try to apply Hybrid discrete particle swarm optimization (HDPSO) proposed to deal with multi-objective production efficient scheduli...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2009
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| Online Access: | http://ndltd.ncl.edu.tw/handle/y786jr |