By Topic

A Web Document Classification Method Based on Shuffled Frog Leaping Algorithm

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Xia Sun ; Sch. of Inf. Sci. & Eng., Henan Univ. of Technol., Zhengzhou ; Ziqiang Wang ; Dexian Zhang

To efficiently deal with Web document classification problem, a novel document classification algorithm based on shuffled frog leaping (SFL) algorithm is proposed in this paper. The SFL algorithm combines the benefits of the genetic-based memetic algorithms and the social behavior-based particle swarm optimization algorithms. The experimental results indicate that the proposed SFL algorithm yields much better performance than other conventional algorithms.

Published in:

Genetic and Evolutionary Computing, 2008. WGEC '08. Second International Conference on

Date of Conference:

25-26 Sept. 2008