Cart (Loading....) | Create Account
Close category search window

HDN-GEP: A Novel Gene Expression Programming with High Density Node

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
$31 $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

6 Author(s)
Yu Chen ; Coll. of Comput. Sci., Sichuan Univ., Chengdu ; Changjie Tang ; Chuan Li ; Yue Wang
more authors

Gene expression programming (GEP) is a new member of evolutionary computation family, and is successful in symbolic regression and function finding in the field of data mining. However, GEP is difficult to find power functions with high ranks. To tackle this problem, this study proposes a novel GEP algorithm named HDN-GEP. The main contributions include: (1) a new structure named HDN (high density node) is proposed that makes each bit in chromosome express more genetic information, (2) a HDN-GEP algorithm is proposed to solve the high or super-high power polynomial function funding, (3) the efficiency of evolution and the ability of GEP in function finding is improved based HDN-GEP, and (4) extensive experiments demonstrate that HDN-GEP algorithm can find high power functions with short chromosome, whereas it can not be solved efficient by traditional GEP.

Published in:

Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on  (Volume:1 )

Date of Conference:

20-22 Oct. 2008

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.