Solving a large-scale precedence constrained scheduling problem with elastic jobs using tabu search

被引：6
|
作者：
Pedersen, Christian R.
Rasmussen, Rasmus V.
Andersen, Kim A.
机构：
[1] Aarhus Univ, Dept Operat Res, DK-8000 Aarhus C, Denmark
[2] Aarhus Sch Business, Dept Accounting Finance & Logist, DK-8210 Aarhus V, Denmark
来源：
COMPUTERS & OPERATIONS RESEARCH | 2007年 / 34卷 / 07期
关键词：
large-scale scheduling; elastic jobs; precedence constraints; practical application; tabu search; ALGORITHM; MAKESPAN;
D O I：
10.1016/j.cor.2005.08.001
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
This paper presents a solution method for minimizing makespan of a practical large-scale scheduling problem with elastic jobs. The jobs are processed on three servers and restricted by precedence constraints, time windows and capacity limitations. We derive a new method for approximating the server exploitation of the elastic jobs and solve the problem using a tabu search procedure. Finding an initial feasible solution is in general NP-complete, but the tabu search procedure includes a specialized heuristic for solving this problem. The solution method has proven to be very efficient and leads to a significant decrease in makespan compared to the strategy currently implemented. (c) 2005 Elsevier Ltd. All rights reserved.
引用
收藏
页码：2025 / 2042
页数：18
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