首页 | 官方网站   微博 | 高级检索  
     

约束满足混合算法求解提前/拖期Job Shop调度问题
引用本文:李俊芳,李铁克,王伟玲.约束满足混合算法求解提前/拖期Job Shop调度问题[J].计算机工程与应用,2010,46(16):12-15.
作者姓名:李俊芳  李铁克  王伟玲
作者单位:北京科技大学 经济管理学院,北京 100083
摘    要:针对提前/拖期Job Shop调度问题,建立其约束满足优化问题模型,提出了一种约束满足与禁忌搜索结合的混合算法。该算法基于约束满足思想,通过约束传播技术和启发式修复算法,得到可行调度作为禁忌搜索算法的初始解;再进行关键路径上的邻域变换,优化当前解;并采用一种全局邻域交换策略,扩大搜索空间,改善优化结果。数据实验表明了该混合算法的可行性和有效性。

关 键 词:约束满足  提前/拖期  Job  Shop  禁忌搜索  关键路径
收稿时间:2010-1-26
修稿时间:2010-4-8  

Hybrid constraint satisfaction algorithm for solving earliness/tardiness Job Shop scheduling problem
LI Jun-fang,LI Tie-ke,WANG Wei-ling.Hybrid constraint satisfaction algorithm for solving earliness/tardiness Job Shop scheduling problem[J].Computer Engineering and Applications,2010,46(16):12-15.
Authors:LI Jun-fang  LI Tie-ke  WANG Wei-ling
Affiliation:School of Economics and Management,University of Science and Technology Beijing,Beijing 100083,China
Abstract:A constraint satisfaction optimization model is established for the problem of earliness/tardiness Job Shop scheduling problem.A hybrid algorithm combined with constraint satisfaction and tabu search is proposed.Based on constraint satisfaction,an entirely feasible scheduling is obtained by constraint propogation technology and heuristic repair method and is regarded as initial solution for tabu search algorithm.Current solution is optimized by neighborhood transformation on a critical path.The final optimizal solution is improved by adopting a global neighborhood swapping strategy.The data experiments show that the hybrid algorithm is feasible and effective.
Keywords:constraint satisfaction  earliness/tardiness  Job Shop  tabu algorithm  critical path
本文献已被 维普 万方数据 等数据库收录!
点击此处可从《计算机工程与应用》浏览原始摘要信息
点击此处可从《计算机工程与应用》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号