A Discrete Firefly Algorithm for the Multi-Objective Hybrid Flowshop Scheduling Problems

被引:178
作者
Marichelvam, Mariappan Kadarkarainadar [1 ]
Prabaharan, Thirumoorthy [2 ]
Yang, Xin She [3 ]
机构
[1] Kamaraj Coll Engn & Technol, Virudunagar 626001, Tamil Nadu, India
[2] Mepco Schlenk Engn Coll, Dept Mech Engn, Sivakasi 626001, Tamil Nadu, India
[3] Middlesex Univ, Sch Sci & Technol, London NW4 4BT, England
关键词
Discrete firefly algorithm (DFA); heuristics; hybrid flowshop scheduling (HFS); makespan; mean flow time; metaheuristics; SWARM OPTIMIZATION ALGORITHM; GENETIC ALGORITHM; SETUP TIMES; SHOP; 2-STAGE;
D O I
10.1109/TEVC.2013.2240304
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Hybrid flowshop scheduling problems include the generalization of flowshops with parallel machines in some stages. Hybrid flowshop scheduling problems are known to be NP-hard. Hence, researchers have proposed many heuristics and metaheuristic algorithms to tackle such challenging tasks. In this letter, a recently developed discrete firefly algorithm is extended to solve hybrid flowshop scheduling problems with two objectives. Makespan and mean flow time are the objective functions considered. Computational experiments are carried out to evaluate the performance of the proposed algorithm. The results show that the proposed algorithm outperforms many other metaheuristics in the literature.
引用
收藏
页码:301 / 305
页数:5
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