Component Thermodynamical Selection Based Gene Expression Programming for Function Finding
Joint Authors
Wang, Shenwen
Dong, Xiaojian
Li, Yuanxiang
Wu, Zhijian
Guo, Zhaolu
Zhang, Kejun
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-01-16
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
Gene expression programming (GEP), improved genetic programming (GP), has become a popular tool for data mining.
However, like other evolutionary algorithms, it tends to suffer from premature convergence and slow convergence rate when solving complex problems.
In this paper, we propose an enhanced GEP algorithm, called CTSGEP, which is inspired by the principle of minimal free energy in thermodynamics.
In CTSGEP, it employs a component thermodynamical selection (CTS) operator to quantitatively keep a balance between the selective pressure and the population diversity during the evolution process.
Experiments are conducted on several benchmark datasets from the UCI machine learning repository.
The results show that the performance of CTSGEP is better than the conventional GEP and some GEP variations.
American Psychological Association (APA)
Guo, Zhaolu& Wu, Zhijian& Dong, Xiaojian& Zhang, Kejun& Wang, Shenwen& Li, Yuanxiang. 2014. Component Thermodynamical Selection Based Gene Expression Programming for Function Finding. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-16.
https://search.emarefa.net/detail/BIM-507727
Modern Language Association (MLA)
Guo, Zhaolu…[et al.]. Component Thermodynamical Selection Based Gene Expression Programming for Function Finding. Mathematical Problems in Engineering No. 2014 (2014), pp.1-16.
https://search.emarefa.net/detail/BIM-507727
American Medical Association (AMA)
Guo, Zhaolu& Wu, Zhijian& Dong, Xiaojian& Zhang, Kejun& Wang, Shenwen& Li, Yuanxiang. Component Thermodynamical Selection Based Gene Expression Programming for Function Finding. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-16.
https://search.emarefa.net/detail/BIM-507727
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-507727