Improvement and application research of Shuffled frog leaping Algorithm

DOI

10.2991/isci-15.2015.313How to use a DOI?

Keywords

Intelligent optimization algorithm; Shuffled frog leaping algorithm; Diversity; Parameter

Abstract

Shuffled frog leaping algorithm is a simulation of the frog group foraging behavior of modern heuristic intelligent algorithm. Based on the defect of this algorithm is easy to be premature, the optimization accuracy low, 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 global optimization performance of the improved shuffled frog leaping algorithm has better.

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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TY  - CONF
AU  - Huadan Duoji
AU  - Yueguang Li
PY  - 2015/01
DA  - 2015/01
TI  - Improvement and application research of Shuffled frog leaping Algorithm
BT  - Proceedings of the 2015 International Symposium on Computers & Informatics
PB  - Atlantis Press
SP  - 2408
EP  - 2415
SN  - 2352-538X
UR  - https://doi.org/10.2991/isci-15.2015.313
DO  - 10.2991/isci-15.2015.313
ID  - Duoji2015/01
ER  -