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求解车间调度问题的双禁忌表禁忌搜索算法
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  • 英文篇名:A Tabu Search Algorithm of Double Tabu List for Job Shop Scheduling Problem
  • 作者:刘胜辉 ; 李小阳 ; 张淑丽
  • 英文作者:LIU Sheng-hui;LI Xiao-yang;ZHANG Shu-li;School of Computer Science and Technology,Harbin University of Science and Technology;
  • 关键词:车间调度 ; 启发式算法 ; 禁忌搜索 ; 禁忌表 ; 邻域
  • 英文关键词:Job-Shop scheduling;;heuristics;;tabu search;;tabu list;;neighborhood
  • 中文刊名:HLGX
  • 英文刊名:Journal of Harbin University of Science and Technology
  • 机构:哈尔滨理工大学软件学院;
  • 出版日期:2016-12-25
  • 出版单位:哈尔滨理工大学学报
  • 年:2016
  • 期:v.21
  • 基金:国家自然科学基金(51375128);; 黑龙江省教育厅科学技术研究项目(12541159)
  • 语种:中文;
  • 页:HLGX201606010
  • 页数:5
  • CN:06
  • ISSN:23-1404/N
  • 分类号:54-58
摘要
针对车间调度问题的特点,为解决传统禁忌搜索算法容易陷入局部最优解的问题,提出一种求解车间调度问题改进的禁忌搜索算法—双禁忌表禁忌搜索算法,该算法通过建立双禁忌表避免在搜索最优解时出现循环的现象.通过该算法与TSAB算法进行比较可知,该算法具有较强的寻优能力.
        According to the characteristics of the job scheduling problem,in order to solve the problem that the traditional tabu search algorithm is easy to fall into local optimal solution,we have proposed an improved tabu search algorithm for solving job shop scheduling problems—a tabu search algorithm based on double tabu list algorithm.This algorithm avoids the phenomenon of the cycle by establishing the double tabu list when searching the optimal solution.By comparing the algorithm with TSAB algorithm,the algorithm has a strong ability of searching for the best solution.
引文
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