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[1] Wang Chuyang, Li Xiaoping, Wang Qian,. Tabu search for no-wait flowshop scheduling problemto minimize maximum lateness [J]. Journal of Southeast University (English Edition), 2010, 26 (1): 26-30. [doi:10.3969/j.issn.1003-7985.2010.01006]
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Tabu search for no-wait flowshop scheduling problemto minimize maximum lateness()
最小化最大延误无等待流水车间调度问题的禁忌搜索算法
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
26
Issue:
2010 1
Page:
26-30
Research Field:
Automation
Publishing date:
2010-03-30

Info

Title:
Tabu search for no-wait flowshop scheduling problemto minimize maximum lateness
最小化最大延误无等待流水车间调度问题的禁忌搜索算法
Author(s):
Wang Chuyang Li Xiaoping Wang Qian
School of Computer Science and Engineering, Southeast University, Nanjing 210096, China
王初阳 李小平 王茜
东南大学计算机科学与工程学院, 南京 210096
Keywords:
tabu search no-wait flowshop scheduling maximum lateness neighborhood
禁忌搜索 无等待流水车间 调度 最大延误 邻域
PACS:
TP278
DOI:
10.3969/j.issn.1003-7985.2010.01006
Abstract:
In order to solve the no-wait flowshop scheduling problem to minimize the maximum lateness, three job-block-based neighborhoods are proposed, among which the block exchange neighborhood have a size of O(n4)while the block swap and the simplified block exchange neighborhoods have a size of O(n3).With larger sizes than the existing neighborhoods, the proposed neighborhoods can enhance the solution quality of local search algorithms.Speedup properties for the neighborhoods are developed, which can evaluate a neighbor in constant time and explore the neighborhoods in time proportional to their proposed sizes. Unlike the dominance-rule-based speedup method, the proposed speedups are applicable to any machine number.Three neighborhoods and the union of block swap and the simplified block exchange neighborhoods are compared in the tabu search.Computational results on benchmark instances show that three tabu search algorithms with O(n3)neighborhoods outperform the existing algorithms and the tabu search algorithm with the union has the best performance among all the tested algorithms.
为求解最小化最大延误无等待流水车间调度问题, 提出了3个基于任务块交换的邻域, 其中块交换邻域的规模为O(n4), 块对换和简化块交换邻域的规模为O(n3).所提邻域的规模均大于现有邻域, 因此可提高局部搜索算法的解质量.给出了3个邻域的加速性质, 使一个相邻解的评估时间为常量, 邻域的评估时间与其规模成正比.同基于支配规则的加速方法相比, 所提出的加速性质适用于任何机器数.在禁忌搜索中比较了3个邻域, 以及块对换和简化块交换邻域的并集.标准实例集上的计算结果表明:3个基于O(n3)邻域的禁忌搜索算法均好于现有算法;在所有的测试算法中, 采用邻域并集的禁忌搜索算法的性能最好.

References:

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Memo

Memo:
Biographies: Wang Chuyang(1975—), male, graduate; Li Xiaoping(corresponding author), male, doctor, professor, xpli@seu.edu.cn.
Foundation items: The National Natural Science Foundation of China(No.60672092, 60504029, 60873236), the National High Technology Research and Development Program of China(863 Program)(No.2008AA04Z103).
Citation: Wang Chuyang, Li Xiaoping, Wang Qian. Tabu search for no-wait flowshop scheduling problem to minimize maximum lateness[J]. Journal of Southeast University(English Edition), 2010, 26(1): 26-30.
Last Update: 2010-03-20