Ant Colony Optimization Meta-Heuristic in Project Scheduling

被引:0
|
作者
Olteanu, Alexandru-Liviu [1 ]
机构
[1] Lucian Blaga Univ Sibiu, Fac Engn, Comp Sci & Automated Control, Str Emil Cioran A, Sibiu 550025, Romania
关键词
Ant Colony Optimization; ACO; ants; meta-heuristic; scheduling; project scheduling;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The problem of scheduling tasks when limited resources are available is a computationally difficult problem which can't be solved by standard algorithms in polynomial time. This paper presents a way of solving this problem using an Ant Colony Optimization approach and thoughts on how it could be improved to bring better solutions in shorter time.
引用
收藏
页码:29 / +
页数:2
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