The Application Research of Ant Colony Algorithm in Search Engine

摘要

The Internet will produce large amounts of information every day. How to effectively manage the information resources has become the key to improve the level of network application. Search engine is a software system applied in the web, which is an important tool for retrieving network information. It uses certain strategies to collect and find information, and process and organize the information, and provides users with network information query service, also can help users find valuable and meaningful information through computers. On the Internet, search engine collects different kinds of resources to navigation to facilitate a quick search. This article mainly discusses the concept of search engine. Through the study of ant colony algorithm, achieve further analysis of the application of search engine, and use pheromone binding characteristics to guide personalized search strategy in order to improve search efficiency. Search engine using ant colony algorithm theoretically expounds ant colony algorithm's openness and dynamic adjustment, and on the basis of it, analyzes the advantages of ant colony search engine algorithm and proves the validity and superiority of the algorithm.