摘要
被蚂蚁的觅食行为所激发(在巢与食物源之间总能找到一条最短路径),提出了一种建立Web自适应站点的方法。该方法把Web用户比作人工蚂蚁,在蚁群理论的指导下使Web用户能通过最短路径到达目标页面,从而自适应地标识出最重要的链接。同时,通过仿真实验对影响Web用户行为的因素(信息素的重要程度、信息素的蒸发系数、Web用户数等)进行了研究,其结论对进一步的理论研究和算法实现具有重要的参考价值。
The approach to establish an adaptive website is inspired by the ant colonies foraging behavior （ant colony can always find a shortest route between nest and food source）. We consider the Web users as artificial ants, and use the ant theory as a metaphor to guide users＇ activities and adaptively mark the most significant links, by means of the shortest route to target pages. Through simulation experiment, we study those factors （pheromone weight, pheromone decay coefficient, the number of Web users） that influence Web users＇ behaviors, which can be useful for further theoretical research and algorithm realization.
出处
《浙江科技学院学报》
CAS
2007年第2期104-107,120,共5页
Journal of Zhejiang University of Science and Technology
关键词
蚁群算法
自适应WEB站点
仿真
ant colony algorithms
adaptive Web site
simulation
