Chance-constrained model for uncertain job shop scheduling problem
Chance-constrained model for uncertain job shop scheduling problem
复制标题
不确定车间调度问题的机会约束模型
DOI:
10.1007/s00500-015-1647-z
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发表时间:
2016-06
期刊:
影响因子:
4.1
通讯作者:
Zhu, Yuanguo
中科院分区:
文献类型:
--
作者:
Shen, Jiayu;Zhu, Yuanguo
Job shop scheduling problem is well-investigated and widely applied in the fields of operational research, system engineering and automatic management. This paper employs uncertain programming to deal with the job shop scheduling problem with uncertain processing time and cost. First, a chance-constrained model is proposed under the framework of uncertainty theory. The model is equivalent to a crisp one by inverse uncertainty distribution method. Furthermore, three heuristic algorithms (genetic algorithm, particle swarm optimization, firefly algorithm) are employed for solving the model. Finally, a numerical example is solved by these three algorithms, and the results are analyzed to show which algorithm is better for solving the established model.
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