Double System Gene Expression Programming and It’s Application in Function Finding Problems
Chaoxue Wang, Kai Zhang, Hui Dong, Fangxiao Zhou
Available Online March 2014.
- https://doi.org/10.2991/mce-14.2014.83How to use a DOI?
- double system gene expression programming; natural evolution system; artificial intervention system; function finding problems; gene pool
- 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.
- 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 -