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

DOI

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.

Copyright

© 2014, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 2014 International Conference on Mechatronics, Control and Electronic Engineering
PB  - Atlantis Press
SP  - 373
EP  - 377
SN  - 1951-6851
UR  - https://doi.org/10.2991/mce-14.2014.83
DO  - 10.2991/mce-14.2014.83
ID  - Wang2014/03
ER  -