An Improved Optimization Approach Based on Competitive Algorithm
Authors
Qi-Mei Wang, Shu-Hui Xu, Zhi-Hong Yang
Corresponding Author
Qi-Mei Wang
Available Online January 2015.
- DOI
- 10.2991/icmemi-15.2015.53How to use a DOI?
- Keywords
- Competitive algorithm, Optimization, Nelder-mead simplex method.
- Abstract
In the paper, we developed an improved approach for the imperialist competitive algorithm to help the original algorithm escape from local optimal area and obtain better performance. The Nelder-Meand simplex method is also introduced to execute alternately with the original procedures of the algorithm. The proposed approach is tested on twelve widely-used benchmark functions to check its validity. Compared with other relative studies, the proposed approach shows faster convergence rate, better search ability, and better stability than the original algorithm and other relative methods.
- Copyright
- © 2015, 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/).
Cite this article
TY - CONF AU - Qi-Mei Wang AU - Shu-Hui Xu AU - Zhi-Hong Yang PY - 2015/01 DA - 2015/01 TI - An Improved Optimization Approach Based on Competitive Algorithm BT - Proceedings of the 2015 International Conference on Management Engineering and Management Innovation PB - Atlantis Press SP - 306 EP - 311 SN - 2352-5428 UR - https://doi.org/10.2991/icmemi-15.2015.53 DO - 10.2991/icmemi-15.2015.53 ID - Wang2015/01 ER -