Grid Task Scheduling Based on Adaptive Ant Colony Algorithm

被引：16
|
作者：
Liu, Aihong [1 ]
Wang, Zhengyou [1 ]
机构：
[1] Jiangxi Univ Finance & Econ, Informat Management Sch, Nanchang 330013, Peoples R China
来源：
INTERNATIONAL CONFERENCE ON MANAGEMENT OF E-COMMERCE AND E-GOVERNMENT, PROCEEDINGS | 2008年
关键词：
D O I：
10.1109/ICMECG.2008.50
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
On the basis of former work, this paper presents an improved ant colony algorithm, namely adaptive ant colony algorithm for grid task scheduling. In the proposed algorithm, the value of evaporation rate p is adaptively changed and a minimum value rho(min) is assigned Thereby, the evaporation rate p is under control and will never be reduced to 0. Comparing experimental results with the original algorithm show that the proposed algorithm is more efficient both in task scheduling efficiency and resource load.
引用
收藏
页码：415 / 418
页数：4
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