| 基于元胞机和改进GA的大型零件柔性作业车间调度算法 |
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| 引用本文： | 陈勇,阮幸聪,鲁建厦,王亚良.基于元胞机和改进GA的大型零件柔性作业车间调度算法[J].中国机械工程,2012,23(2):177-184,190. |
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| 作者姓名： | 陈勇 阮幸聪 鲁建厦 王亚良 |
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| 作者单位： | 浙江工业大学特种装备制造与先进加工技术教育部重点实验室,杭州,310032 |
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| 基金项目： | 国家自然科学基金资助项目(70971118);浙江省自然科学基金资助项目(Y607456,Y6090475) |
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| 摘 要： | 针对大型零件柔性作业车间调度问题,采用改进遗传算法优化元胞机局部演化规则,提出了元胞机和改进遗传算法相结合的混合调度算法。依据总加工时间最短、各工位负荷率高、同一工位组各工位负荷平衡率高的优化目标,建立了离散化后单个静态调度单元的遗传算法优化模型,并结合算例具体说明了优化过程。通过文献实例演算验证了混合算法求解大型零件柔性作业车间调度问题的可行性和有效性。
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| 关 键 词： | 元胞机 遗传算法 大型零件 柔性作业车间调度 |
Flexible Job-Shop Scheduling Algorithm of Large Parts Based on Cellular Automata and Improved GA |
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| Chen Yong Ruan Xingcong Lu Jiansha Wang Yaliang.Flexible Job-Shop Scheduling Algorithm of Large Parts Based on Cellular Automata and Improved GA[J].China Mechanical Engineering,2012,23(2):177-184,190. |
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| Authors: | Chen Yong Ruan Xingcong Lu Jiansha Wang Yaliang |
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| Affiliation: | Chen Yong Ruan Xingcong Lu Jiansha Wang Yaliang Key Laboratory of Special Purpose Equipment and Advanced Processing Technology, Ministry of Education,Zhejiang University of Technology,Hangzhou,310032 |
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| Abstract: | According to the flexible job-shop scheduling problem of large parts,the local evolution rule of cellular automata was optimized using an improved GA and a hybrid scheduling algorithm combining cellular automata with improved GA was proposed.Based on three optimization objectives of minimizing the total processing time,maximizing load rates of all the work stations and maximizing balance rate of a group of work stations of the same type,A GA optimization model for all the static scheduling units was built,and the optimization process was explained by use of a numerical example.The feasibility and efficiency of the hybrid scheduling algorithm of cellular automata and improved GA was verified through applying it into actual example referenced from literature. |
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| Keywords: | cellular automata genetic algorithm(GA) large part flexible job-shop scheduling |
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