High Performance Algorithms for the Unrelated Parallel Machines Scheduling Problem with a Common Server and Job-Sequence Dependent Setup Times

被引：0
|
作者：
Hadhbi, Youssouf [1 ]
Deroussi, Laurent [1 ]
Grangeon, Nathalie [1 ]
Norre, Sylvie [1 ]
Blanchon, Christophe [2 ]
机构：
[1] Univ Clermont Auvergne, CNRS, Clermont Auvergne INP, Mines St Etienne,LIMOS, F-63000 Clermont Ferrand, France
[2] Inoprod, F-63800 Cournon Dauvergne, France
来源：
METAHEURISTICS AND NATURE INSPIRED COMPUTING, META 2023 | 2024年 / 2016卷
关键词：
unrelated parallel machines scheduling problem; sequence-dependent setup times; servers; mixed integer linear program; branch-and-cut; local search; iterated local search; matheuristic; APPROXIMATION ALGORITHMS; MAKESPAN;
D O I：
10.1007/978-3-031-69257-4_6
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper we study a variant of the non-preemptive unrelated parallel machines scheduling problem with sequence-dependent setup times and machine eligibility restrictions. We first formulate the problem as a mixed integer linear program (MILP), and further devise a branch-and-cut (B&C) algorithm for solving the problem. Due to the NP hardness of the problem, we propose a metaheuristic based on an iterated local search (ILS) algorithm. Using this, we provide several matheuristics for solving the problem. The proposed approaches are compared using different families of instances.
引用
收藏
页码：71 / 88
页数：18
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