An Improved Ant Colony Algorithm for Independent Tasks Scheduling of Grid

被引：0
|
作者：
Zhu, Youchan [1 ]
Wei, Qiujuan [1 ]
机构：
[1] North China Elect Power Univ, Network Management Ctr, Baoding 071003, Hebei Province, Peoples R China
来源：
2010 2ND INTERNATIONAL CONFERENCE ON COMPUTER AND AUTOMATION ENGINEERING (ICCAE 2010), VOL 2 | 2010年
关键词：
grid; tasks scheduling; IACO algorithm;
D O I：
10.1109/ICCAE.2010.5451663
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The article introduces an improved ant colony algorithm (IACO) for the grid independent tasks scheduling problem. Min-min algorithm can decide the resource which can complete the task early. Initializing the pheromone of ant colony algorithm with Min-min algorithm can improve the lack of initial pheromone, slowing speed of solving. To avoid the "premature"phenomenon of the latter part, this paper improves the parameters. The improved ant colony algorithm is more suited to the grid tasks scheduling and can make full use of the resource.
引用
收藏
页码：566 / 569
页数：4
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