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Computer Engineering ›› 2008, Vol. 34 ›› Issue (5): 5-7. doi: 10.3969/j.issn.1000-3428.2008.05.002

• Degree Paper • Previous Articles     Next Articles

Strategy of XML Probabilistic Query and Optimization Algorithm Based on Antcolony Algorithm

LIU Bo1, YANG Lu-ming1, LEI Gang-yue2   

  1. (1. College of Information Science and Engineering, Central-south University, Changsha 410083; 2. Hunan College of Information, Changsha 410200)
  • Received:1900-01-01 Revised:1900-01-01 Online:2008-03-05 Published:2008-03-05

基于蚁群算法的XML概率查询策略与算法优化

刘 波1,杨路明1,雷刚跃2   

  1. (1. 中南大学信息学院,长沙 410083;2. 湖南信息职业技术学院,长沙 410200)

Abstract: Based on XML semi-structured characteristic and probabilistic query theory and antcolony algorithm, this paper gives a method to research for XML query which adds crossover operator and renews pheromone. It can not only choose data-query direction dynamic, but also avoid useless query. As a result, query range is widened and shrinkage efficiency is enhanced. At last, it is made sure by corresponding simulant test that the method can optimize XML query.

Key words: antcolony algorithm, probabilistic query, pheromone, crossover operator

摘要: 针对XML数据半结构化的特点及概率查询理论,结合蚁群算法,提出添加杂交算子和更新信息素的方法,该方法不仅能动态选择数据查询方向,而且能避免无效查询,扩大数据查询范围,提高收缩效率。模拟测试证明了该方法能优化XML查询。

关键词: 蚁群算法, 概率查询, 信息素, 杂交算子

CLC Number: