Referenced Items are not available for this document.
The basic principle of gene expression programming (GEP) is introduced in this paper. An improved GEP algorithm called IGEP based on dynamic mutation operator which dealing with the inverse problem of parameter identification of complex function is presented, the algorithm complexity of the IGEP was given in the paper, furthermore, many simulation results show that the models set up by the paper are better than the models set up by classic GEP. A future study will consider the effects of applying IGEP to the inverse problem which sensitive to the time period
Published in:
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
(Volume:1
)
Date of Conference: 0-0 0
- Page(s):
- 3371 - 3375
- Print ISBN:
- 1-4244-0332-4
- INSPEC Accession Number:
- 9163544
- Conference Location :
- Dalian
- Digital Object Identifier :
- 10.1109/WCICA.2006.1712993
- Product Type:
- Conference Publications
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 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.
