| 改进自适应遗传算法在硫化车间调度中的应用 |
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| 引用本文： | 罗武,覃宇.改进自适应遗传算法在硫化车间调度中的应用[J].中国制造业信息化,2007,36(7):10-13. |
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| 作者姓名： | 罗武 覃宇 |
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| 作者单位： | [1]广州铁路职业技术学院机电工程系,广东广州510610 [2]华南理工大学工业装备与控制工程学院,广东广州510610 |
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| 基金项目： | 广西科技厅科技攻关项目(桂科攻0330005-2B) |
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| 摘 要： | 针对轮胎加工生产过程中的瓶颈即硫化工序的生产调度，建立了一个基于改进自适应遗传算法的调度方案。改进自适应遗传算法相对于普通遗传算法，能够更有效收敛于目标，提高运算速度，并通过实例证明了该算法的有效性和可行性。
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| 关 键 词： | 自适应遗传算法 车间调度 硫化 |
| 文章编号： | 1672-1616（2007）13-0010-04 |
| 修稿时间： | 2007-04-11 |
Application of the Improved Self- adaptive GA in the Tire Vulcanization Job - shop Scheduling |
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| LUO Wu, QIN Yu.Application of the Improved Self- adaptive GA in the Tire Vulcanization Job - shop Scheduling[J].Manufacture Information Engineering of China,2007,36(7):10-13. |
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| Authors: | LUO Wu QIN Yu |
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| Affiliation: | 1. Guangzhou Institute of Railway Profession Technology, Guangdong Guangzhou, 510610, Chin;2. South China University of Science and Technology, Guangdong Guangzhou, 510610, China |
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| Abstract: | Aiming at the bottle- neck of the tire producing process, the job- shop scheduling of the tire vulcanization, it provides an improved self- adaptive GA to build an effective schedule project. Comparison with the normal GA, it can offer convergence effectiveness to the target and advance the operation speed. An example shows this method is effective and feasibale. |
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| Keywords: | Self- adaptive GA Job- shop Scheduling Vulcanization |
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