This paper proposed a methodology based on Genetic Algorithm (GA) to provide a novel way for searching via the Internet with multi-search engine. The proposed system provides a WWW interface for users to enter the keyword. The system connects to the Octopus to get all links and contents. According to the user profile, the system dynamically trains the weights of each keyword by GA, and sorts all the links to adopt 10 best-fit to the user. When the user had browsed the first viewing page and gave the system some feedbacks, the system than utilizes the user's feedbacks to re-train the weights of each remaining keywords. After the training, it uses the new weight combination for the keywords set to determine the order of the remaining links to prepare the next viewing page, and so on. The experiments show that it is suitable for those people that want to collect the comprehensive information via the Internet.
|頁（從 - 到）||271-276|
|期刊||Canadian Conference on Electrical and Computer Engineering|
|出版狀態||Published - 7 八月 2002|
|事件||Canadian Conference on Electrical and Computer Engineering - Toronto, Ont., Canada|
持續時間: 13 五月 2001 → 16 五月 2001