Journal
COMPUTERS & INDUSTRIAL ENGINEERING
Volume 58, Issue 4, Pages 610-617Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.cie.2010.01.002
Keywords
Fuzzy job shop scheduling; Periodic maintenance; Random key representation; Genetic algorithm
Funding
- China National Foundation of Science [70901064]
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This paper presents the fuzzy job shop scheduling problem with availability constraints. The objective is to find a schedule that maximizes the minimum agreement index subject to periodic maintenance, non-resumable jobs and fuzzy due-date. A random key genetic algorithm (RKGA) is proposed for the problem, in which a novel random key representation, a new decoding strategy incorporating maintenance operation and discrete crossover (DX) are used. RKGA is applied to some fuzzy scheduling problem with availability constraints and compared with other algorithms. Computational results show that RKGA performs better than other algorithms. (C) 2010 Elsevier Ltd. All rights reserved.
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