Multi-objective no-wait flowshop scheduling problems: models and algorithms

被引:19
|
作者
Naderi, B. [1 ]
Aminnayeri, M. [2 ]
Piri, M. [3 ]
Yazdi, M. H. Ha'iri [4 ]
机构
[1] Univ Tehran, Dept Ind Engn, Fac Engn, Tehran, Iran
[2] Amirkabir Univ Technol, Dept Ind Engn, Tehran, Iran
[3] Iran Univ Sci & Technol, Dept Ind Engn, Tehran, Iran
[4] Univ Tehran, Sch Mech Engn, Fac Engn, Tehran, Iran
关键词
no-wait flowshop scheduling; multi-objective iterated local search algorithm; mixed integer linear programming model; ITERATED GREEDY ALGORITHM; HEURISTIC ALGORITHMS; COMPLETION-TIME; PARTICLE SWARM; TOTAL FLOWTIME; M-MACHINE; MAKESPAN; MINIMIZE; OPTIMIZATION; VARIANCE;
D O I
10.1080/00207543.2010.543937
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This article studies multi-objective no-wait flowshop scheduling problems to minimise both makespan and total tardiness. This problem is commonly denoted by F/nwt/TT, C-max. This article mathematically formulates the problem using two effective multi-objective mixed integer linear programming models. The multi-objective mathematical models are then solved by a multiple criteria decision making approach, called Fuzzy programming method. Moreover, the article proposes a novel multi-objective iterated local search algorithm incorporating three types of local search engine: greedy, moderate and curtailed fashions. The algorithm is carefully evaluated for its performance against two available algorithms by means of multi-objective performance measures and statistical tools. The results show that the proposed solution method outperforms the others.
引用
收藏
页码:2592 / 2608
页数:17
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