Modeling and Scheduling Optimization for Bulk Ore Blending Process

被引：0
|
作者：
SONG Chun-yue
机构：
来源：
Journal of Iron and Steel Research(International) | 2012年 / 19卷 / 09期
基金：
中国国家自然科学基金;
关键词：
bulk ore blending; assembly flow shop; sequence-depended setup time; limited intermediate buffer; genetic algorithm;
D O I：
10.13228/j.boyuan.issn1006-706x.2012.09.011
中图分类号：
TF52 [原材料];
学科分类号：
080602 ;
摘要：
A new scheduling model for the bulk ore blending process in iron-making industry is presented , by converting the process into an assembly flow shop scheduling problem with sequence-depended setup time and limited intermediate buffer , and it facilitates the scheduling optimization for this process.To find out the optimal solution of the scheduling problem , an improved genetic algorithm hybridized with problem knowledge-based heuristics is also proposed , which provides high-quality initial solutions and fast searching speed.The efficiency of the algorithm is verified by the computational experiments.
引用
收藏
页码：20 / 28
页数：9
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