Fuzzy job shop scheduling problem with availability constraints

Fuzzy job shop scheduling problem with availability constraints
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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:
Computers & Industrial Engineering
影响因子:
--
通讯作者:
Lei, Deming
Lei, Deming
中科院分区:
其他
文献类型:
--
作者:
Lei, Deming

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研究了带可用性约束的模糊作业车间调度问题。问题的目标是在定期维修、不可重复工作和模糊交货期条件下,找到一个最大化最小一致性指标的调度方案。针对该问题,提出了一种随机密钥遗传算法(RKGA),该算法采用了一种新的随机密钥表示方式,并结合了维护操作和离散交叉操作(DX)的译码策略。将RKGA应用于具有可用性约束的模糊调度问题,并与其他算法进行了比较。计算结果表明,RKGA的性能优于其他算法。
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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