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一种基于蚁群算法的主题爬虫搜索策略
引用本文:陈永彬,张琢,张添.一种基于蚁群算法的主题爬虫搜索策略[J].微型机与应用,2011,30(1):53-56.
作者姓名:陈永彬  张琢  张添
作者单位:东北师范大学理想信息技术研究院,吉林长春,130024
摘    要:针对目前主题爬虫采用"启发式"搜索策略出现的"近视"缺点,提出了一种基于蚁群算法的主题爬虫搜索策略。该方法将蚁群算法引入到主题爬虫的搜索策略中,并对蚁群算法中信息素的更新计算进行了改进,使其具有一定的自适应性。通过与其他搜索策略的比较实验,结果表明该算法能够更好地提高爬虫的全局搜索能力。

关 键 词:主题爬虫  蚁群算法  搜索策略  信息素

A searching stategy in topic crawler using ant colony algorithm
Chen Yongbin,Zhang Zhuo,Zhang Tian.A searching stategy in topic crawler using ant colony algorithm[J].Microcomputer & its Applications,2011,30(1):53-56.
Authors:Chen Yongbin  Zhang Zhuo  Zhang Tian
Affiliation:Chen Yongbin,Zhang Zhuo,Zhang Tian(Institute of Ideal Information and Technology,Northeast Normal University,Changchun 130024,China)
Abstract:This text advances a searching stategy in topic crawler using ant colony algorithm,in accordance with the defect of near-sighted for the topic crawler using heuristic searching strategy.Ant colony algorithm is introduced to the topic crawler searching strategies and updated the computational method of pheromone,which has certain adaptability.Through the comparison with other searching strategies,the test results indicate that this algorithm has more excellent ability in searching the whole best solution.
Keywords:topic crawler  ant colony algorithm  searching stategy  pheromone  
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