Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering

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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/).

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Volume Title
Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering
Series
Advances in Intelligent Systems Research
Publication Date
April 2015
ISBN
10.2991/isrme-15.2015.54
ISSN
1951-6851
DOI
10.2991/isrme-15.2015.54How to use a DOI?
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

risenwbib
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  -