Parallel hybrid metaheuristics for the flexible job shop problem

被引：67
|
作者：
Bozejko, Wojciech [1 ]
Uchronski, Mariusz [1 ]
Wodecki, Mieczyslaw [2 ]
机构：
[1] Wroclaw Univ Technol, Inst Comp Engn Control & Robot, PL-50372 Wroclaw, Poland
[2] Univ Wroclaw, Inst Comp Sci, PL-50383 Wroclaw, Poland
来源：
COMPUTERS & INDUSTRIAL ENGINEERING | 2010年 / 59卷 / 02期
关键词：
Scheduling; Flexible job shop problem; Hybrid metaheuristics; Tabu search; Population-based algorithm; SCHEDULING PROBLEM; TABU SEARCH; ALGORITHM;
D O I：
10.1016/j.cie.2010.05.004
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
A parallel approach to flexible job shop scheduling problem is presented in this paper. We propose two double-level parallel metaheuristic algorithms based on the new method of the neighborhood determination. Algorithms proposed here include two major modules: the machine selection module refer to executed sequentially, and the operation scheduling module executed in parallel. On each level a metaheuristic algorithm is used, therefore we call this method meta(2)heuristics. We carry out a computational experiment using Graphics Processing Units (CPU). It was possible to obtain the new best known solutions for the benchmark instances from the literature. (c) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码：323 / 333
页数：11
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