An improved Shuffled frog leaping Algorithm for solving nonlinear equation group
Authors
Dejun Xue, Yueguang Li
Corresponding Author
Dejun Xue
Available Online April 2015.
- DOI
- 10.2991/isrme-15.2015.54How to use a DOI?
- Keywords
- Intelligent algorithm; Improved Shuffled frog leaping algorithm; Diversity; Nonlinear equations
- Abstract
This paper proposes a shuffled frog leaping algorithm based on population diversity feedback. Through the optimization experimental of testing on the standard function, the results show that the improved shuffled frog leaping algorithm has reliable convergence, high convergence rate and solution precision.
- 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 - Dejun Xue AU - Yueguang Li PY - 2015/04 DA - 2015/04 TI - An improved Shuffled frog leaping Algorithm for solving nonlinear equation group BT - Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering PB - Atlantis Press SP - 233 EP - 236 SN - 1951-6851 UR - https://doi.org/10.2991/isrme-15.2015.54 DO - 10.2991/isrme-15.2015.54 ID - Xue2015/04 ER -