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

页码：343 / 351

页数：9

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