基于模拟退火机制的网络蜘蛛搜索策略

Research on web spider's searching strategy based on simulated annealing

在分析传统网络蜘蛛搜索机制特点的基础上 ,将模拟退火机制引入网络蜘蛛的链接选择策略 ,提出了一种基于模拟退火机制的启发式网络蜘蛛搜索算法。针对国外四所著名大学计算机系网站中计算机论文资源的搜索实验表明 ,新算法可以有效提高搜索效率。

Based on the analyses of the traditional Web spider's searching mechanics, this paper combines the mechanism of simulated annealing with Web spider's searching strategy. Then a heuristic Web spider's searching algorithm based on the simulated annealing is proposed. We validate our new algorithm by experiments of searching computer-relevant papers on the Web sites of four famous computer departments. The results show that the new algorithm has better performance.