Minimizing total tardiness in parallel machine scheduling with setup times:: An adaptive memory-based GRASP approach

被引:39
作者
Armentano, Vinicius Amaral
de Franca Filho, Moacir Felizardo
机构
[1] Univ Estadual Campinas, Fac Engn Eletr & Computacao, BR-13083852 Campinas, SP, Brazil
[2] Ctr Fed Educacao Tecnol Minas Gerais, Dept Acad Engn Mec, BR-30510000 Belo Horizonte, MG, Brazil
基金
巴西圣保罗研究基金会;
关键词
scheduling; parallel machines; setup times; adaptive memory; greedy randomized adaptive search procedures;
D O I
10.1016/j.ejor.2006.09.077
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
This paper deals with the problem of scheduling jobs in uniform parallel machines with sequence-dependent setup times in order to minimize the total tardiness relative to job due dates. We propose GRASP versions that incorporate adaptive memory principles for solving this problem. Long-term memory is used in the construction of an initial solution and in a post-optimization procedure which connects high quality local optima by means of path relinking. Computational tests are carried out on a set of benchmark instances and the proposed GRASP versions are compared with heuristic methods from the literature. (c) 2006 Published by Elsevier B.V.
引用
收藏
页码:100 / 114
页数:15
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