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计算机系统应用英文版:2012,21(10):40-42,75

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蚁群算法在教育资源分布式共享系统中的应用

李昕, 荆永君

(沈阳师范大学教育技术学院, 沈阳 110034)

Application of Ant Colony Algorithm in Distributed and Shared Educational Resources System

LI Xin, JING Yong-Jun

(School of Educational Technology, Shenyang Normal University, Shenyang 110034, China)

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本文已被：浏览 2267次下载 2513次
Received:February 19, 2012 Revised:March 23, 2012

中文摘要: 针对教育资源分布式共享系统中资源中心和用户任务之间的调度问题, 建立该类问题的通用调度模型,讨论基于蚁群算法的任务调度机制, 实现资源中心和用户任务间的优化匹配方案. 仿真实验表明, 该方法具有较好的稳定性和有效性, 减少用户任务完成时间, 提高系统服务效率.

中文关键词: 分布式教育资源系统任务调度多目标优化问题蚁群算法

Abstract:The schedule between servers and users is a MOP (Multi-objective Optimization Problems), in a distributed and shared educational resources system. Ant colony algorithm has been proved to be a kind of effective algorithm to solve it. A common model of the above schedule was given, and ant colony algorithm was applied to optimize the schedule. The experiment results show that the effect of this optimization is evident.

keywords: distributed education resources system mission schedule MOP ant colony algorithm

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基金项目:辽宁省教育科学“十二五”规划(JG11DB280)

Author Name	Affiliation
LI Xin	School of Educational Technology, Shenyang Normal University, Shenyang 110034, China
JING Yong-Jun	School of Educational Technology, Shenyang Normal University, Shenyang 110034, China

Author Name	Affiliation
LI Xin	School of Educational Technology, Shenyang Normal University, Shenyang 110034, China
JING Yong-Jun	School of Educational Technology, Shenyang Normal University, Shenyang 110034, China

引用文本：
李昕,荆永君.蚁群算法在教育资源分布式共享系统中的应用.计算机系统应用,2012,21(10):40-42,75
LI Xin,JING Yong-Jun.Application of Ant Colony Algorithm in Distributed and Shared Educational Resources System.COMPUTER SYSTEMS APPLICATIONS,2012,21(10):40-42,75