| 粒子群算法在柔性工作车间调度中的应用 |
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| 引用本文： | 谷峰,陈华平,卢冰原,古春生. 粒子群算法在柔性工作车间调度中的应用[J]. 系统工程, 2005, 23(9): 20-23 |
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| 作者姓名： | 谷峰 陈华平 卢冰原 古春生 |
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| 作者单位： | 中国科学技术大学,信息管理与决策科学系,安徽,合肥,230026 |
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| 基金项目： | 安徽省自然科学基金资助项目（050460404） |
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| 摘 要： | 粒子群算法是一种新出现的群智能优化算法。本文针对柔性工作车间调度问题的特点构造了此问题的粒子表达方法，给出了具体的算法应用过程，并与遗传算法做了对比实验。实验结果表明粒子群算法在柔性工作车间调度问题的应用上是十分有效的。
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| 关 键 词： | 柔性工作车间调度 粒子群算法 遗传算法 |
| 文章编号： | 1001-4098（2005）09-0020-04 |
| 收稿时间： | 2005-06-24 |
| 修稿时间： | 2005-06-24 |
Particle Swarm Optimization For Flexible Job Shop Scheduling |
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| GU Feng,CHEN Hua-ping,LU Bing-yuan,GU Chun-sheng. Particle Swarm Optimization For Flexible Job Shop Scheduling[J]. Systems Engineering, 2005, 23(9): 20-23 |
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| Authors: | GU Feng CHEN Hua-ping LU Bing-yuan GU Chun-sheng |
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| Affiliation: | Department of Information Management and Decision Science, University of Science and Technology of China,Hefei 230026,China |
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| Abstract: | Particle swarm optimization is a newly emerging method for swarm intelligence optimization. We construct the particle presentation for flexible job shop scheduling according to the characteristic of flexible job shop scheduling and give the detailed process for application. Finally,we compare the genetic algorithm with particle swarm optimisation. The results have shown the effectiveness of particle swarm optimisation for flexible job shop scheduling. |
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| Keywords: | Flexible Job Shop Scheduling Particle Swarm Optimization Genetic Algorithm |
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