Two very large-scale neighborhoods for single machine scheduling

被引:8
作者
Brueggemann, Tobias [1 ]
Hurink, Johann L. [1 ]
机构
[1] Univ Twente, Dept Appl Math, NL-7500 AE Enschede, Netherlands
关键词
very large-scale neighborhoods; local search; single machine;
D O I
10.1007/s00291-006-0052-5
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
In this paper, the problem of minimizing the total completion time on a single machine with the presence of release dates is studied. We introduce two different approaches leading to very large-scale neighborhoods in which the best improving neighbor can be determined in polynomial time. Furthermore, computational results are presented to get insight in the performance of the developed neighborhoods.
引用
收藏
页码:513 / 533
页数:21
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