DocumentCode :
12734
Title :
A Discrete Firefly Algorithm for the Multi-Objective Hybrid Flowshop Scheduling Problems
Author :
Marichelvam, Mariappan Kadarkarainadar ; Prabaharan, T. ; Xin She Yang
Author_Institution :
Kamaraj Coll. of Eng. & Technol., Virudhunagar, India
Volume :
18
Issue :
2
fYear :
2014
fDate :
Apr-14
Firstpage :
301
Lastpage :
305
Abstract :
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.
Keywords :
flow shop scheduling; optimisation; parallel algorithms; NP-hard problem; discrete firefly algorithm; flowshops generalization; metaheuristic algorithms; multiobjective hybrid flowshop scheduling problems; parallel machines; Algorithm design and analysis; Doped fiber amplifiers; Genetic algorithms; Job shop scheduling; Optimization; Processor scheduling; Discrete firefly algorithm (DFA); heuristics; hybrid flowshop scheduling (HFS); makespan; mean flow time; metaheuristics;
fLanguage :
English
Journal_Title :
Evolutionary Computation, IEEE Transactions on
Publisher :
ieee
ISSN :
1089-778X
Type :
jour
DOI :
10.1109/TEVC.2013.2240304
Filename :
6412790
Link To Document :
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