Fuzzy job shop scheduling problem with availability constraints
Fuzzy job shop scheduling problem with availability constraints
复制标题
具有可用性约束的模糊车间调度问题
DOI:
10.1016/j.cie.2010.01.002
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发表时间:
2010-05
期刊:
影响因子:
--
通讯作者:
Lei, Deming
中科院分区:
文献类型:
--
作者:
Lei, Deming
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.
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