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