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Computer Engineering ›› 2009, Vol. 35 ›› Issue (10): 173-175. doi: 10.3969/j.issn.1000-3428.2009.10.057

• Artificial Intelligence and Recognition Technology • Previous Articles     Next Articles

Multi-join Query Optimization Method Based on Ant Colony Algorithm

GUO Cong-li, ZHU Li, LI Xiang   

  1. (School of Computer, China University of Geosciences, Wuhan 430074)
  • Received:1900-01-01 Revised:1900-01-01 Online:2009-05-20 Published:2009-05-20

基于蚁群算法的多连接查询优化方法

郭聪莉,朱 莉,李 向   

  1. (中国地质大学计算机学院,武汉 430074)

Abstract: This paper applies the Ant Colony Algorithm(ACA) to the optimization of multi-join. It introduces basic principles and working process of ACA, then builds a multi-join query optimization model based on ACA. With the method proposed by this paper, a high quality solution to the multi-join queries problems can be obtained.

Key words: Ant Colony Algorithm(ACA), optimization, multi-join query

摘要: 介绍蚁群算法在多连接查询优化中的应用,在介绍蚁群算法的基本原理和工作流程的基础上,提出一种利用蚁群算法进行数据库多连接查询优化的方法,并建立基于蚁群算法的多连接查询优化模型。理论分析与试验结果表明,用蚁群算法解决多连接查询优化问题取得了满意的效果。

关键词: 蚁群算法, 优化, 多连接查询

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