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求解Job shop的一种快速混合算法
  • 期刊名称:微电子学与计算机, 2010, 27(1): 113-115,119
  • 时间:0
  • 分类:TP301[自动化与计算机技术—计算机系统结构;自动化与计算机技术—计算机科学与技术]
  • 作者机构:[1]聊城大学计算学院,山东聊城252059, [2]聊城市信息产业局,山东聊城252000
  • 相关基金:国家自然科学基金项目(60874075,70871065)
  • 相关项目:基于学习机制的群智能调度理论与方法研究
中文摘要:

结合车间调度问题本身的特点,采用关键路径块邻域结构,混合禁忌搜索算法和粒子群优化算法,设计了一种快速混合调度算法.该算法对预选择的块邻域解的性能进行快速估计,对不可行解尽早舍去,大大减小了邻域解的搜索空间.仿真结果表明,该算法在求解平均时间和性能方面均具备明显优势.

英文摘要:

The paper designed a fast hybrid algorithm for the job shop .scheduling problems. The feature of the job shop scheduling problem was considered, and block neighbor .solutions based on critical path was used in it, tabu search algorithm and particle swarm optimization were all included in it. A new function was created to quickly estimate the performance of the candidate .solutions, and drop the bad ones, so it can decrease the search space deeply. A simulation indicates that the new algorithm has good efficiency and performance.

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