Some Aspects Regarding the Application of the Ant Colony Meta-heuristic to Scheduling Problems

被引：0
|
作者：
Moisil, Ioana [1 ]
Olteanu, Alexandru-Liviu [1 ]
机构：
[1] Lucian Blaga Univ Sibiu, Fac Engn, Sibiu 550025, Romania
来源：
LARGE-SCALE SCIENTIFIC COMPUTING | 2010年 / 5910卷
关键词：
D O I：
10.1007/978-3-642-12535-5_40
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Scheduling is one of the most complex problems that appear in various fields of activity, from industry to scientific research, and have a special place among the optimization problems. In our paper we present the results of our computational study i.e. an Ant Colony Optimization algorithm for the Resource-Constrained Project Scheduling Problem that uses dynamic pheromone evaporation.
引用
收藏
页码：343 / 351
页数：9
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