Ant Colony Optimization for manufacturing resource scheduling problem

被引:0
|
作者
Su, Wang [1 ]
Bo, Meng [1 ]
机构
[1] Wuhan Univ, Comp Sch, Wuhan 430072, Hubei, Peoples R China
关键词
ant colony optimization; manufacturing resource scheduling; pheromone;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Effective scheduling has a significant influence on efficiency of resources and manufacturing systems. In this paper, we propose a model of resource scheduling based on matching mechanism and apply Ant Colony Optimization to solve this problem. During the process of seeking, ants can change the size of colony adaptively and incline to select the resources which cost less. Finally, we examine the performance of optimization in a test case scenario in container terminals and obtain satisfactory results that suggest that ACO is well suitted far apprlication in practice.
引用
收藏
页码:863 / +
页数:2
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