关键词: 蚁群算法, 搜索引擎, 多目标优化

Abstract: The ant colony algorithm is a swarm intelligence optimization algorithm which is proposed by Marco，Dorigo and other scholars inspired by the foraging behavior of real ants.In order to improve the recall and precision of the search engine，both the theoretical analysis and experimental method are used to study the application of ant colony algorithm in the search engine system.The paper quantifies the users’ favoritism by ant group algorithm，and proposes a multi-objective optimization model for comprehensive assessment system of the website which is based on three indexes of the link structure of website，the content correlation and the users’ favoritism.It theoretically describes the feasibility and adaptability of the application of ant colony algorithm in the search engine system，and finally the simulative experiments have proved the effectiveness and superiority of the comprehensive assessment system of the website.

Key words: ant group algorithm, search engine, multi-objective optimization