Proceedings of the 2014 International Conference on Mechatronics, Control and Electronic Engineering

Double System Gene Expression Programming and It’s Application in Function Finding Problems

Authors
Chaoxue Wang, Kai Zhang, Hui Dong, Fangxiao Zhou
Corresponding Author
Chaoxue Wang
Available Online March 2014.
DOI
https://doi.org/10.2991/mce-14.2014.83How to use a DOI?
Keywords
double system gene expression programming; natural evolution system; artificial intervention system; function finding problems; gene pool
Abstract
Gene Expression Programming (GEP) is a powerful evolutionary method for knowledge discovery and model learning, which simulates the process of natural evolution, and has the phenomena of low converging speed and readily being premature. After the birth of human society, the evolution processes of nature world and human show a rising acceleration characteristic under the artificial intervention. Inspired by this, this paper proposes a double system gene expression programming (DS-GEP), which consists of natural evolution system and artificial intervention system. The artificial intervention system includes individual intervention operation and population intervention operation. The individual intervention operation aims to repair the unfeasible genes in individuals with superior genes from gene pool. The population intervention operation uses extinction/restart strategy to form new population with high diversity after the evolution has fallen into stagnation. To validate the superiority of DS-GEP, DS-GEP and the standard GEP and an improved GEP in the relevant literatures are compared as regards enough function finding problems. The test results show that DS-GEP can overcome the stagnation and premature convergence phenomenon effectively during the evolutionary process, and promises competitive performance.
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Proceedings
2014 International Conference on Mechatronics, Control and Electronic Engineering (MCE-14)
Part of series
Advances in Intelligent Systems Research
Publication Date
March 2014
ISBN
978-94-62520-31-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/mce-14.2014.83How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Chaoxue Wang
AU  - Kai Zhang
AU  - Hui Dong
AU  - Fangxiao Zhou
PY  - 2014/03
DA  - 2014/03
TI  - Double System Gene Expression Programming and It’s Application in Function Finding Problems
BT  - 2014 International Conference on Mechatronics, Control and Electronic Engineering (MCE-14)
PB  - Atlantis Press
SP  - 373
EP  - 377
SN  - 1951-6851
UR  - https://doi.org/10.2991/mce-14.2014.83
DO  - https://doi.org/10.2991/mce-14.2014.83
ID  - Wang2014/03
ER  -