Chaotic System Parameter Identification Based on Firefly Optimization

DOI

10.2991/iccsee.2013.581How to use a DOI?

Keywords

Swarm Intelligence, Firefly Algorithm, Inertia Weight, Parameters Identification

Abstract

Firefly Optimization Algorithm (FA) is a novel heuristic stochastic algorithm based on swarm intelligence, which is inspired by the fireflies’ biochemical and collective behavior. Due to the increment of attractiveness and the fixed step factor, the optimizing results are easily repeated oscillation on the position of local or global extreme value point, and the optimizing accuracy is reduced. Accordingly, this paper puts forward chaos firefly optimization algorithm (CFA), the improved algorithm can improve the diversity of population and the ergodicity of optimization, increase the ability of getting rid of trapped into local minima point. Chaos firefly optimization algorithm is used for the identification of chaotic system parameter; the results show the high accuracy of the algorithm parameter identification.

Copyright

© 2013, 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  - Wei-ming Gao
AU  - Zhi-cheng Zhang
AU  - Yao-hua Chong
PY  - 2013/03
DA  - 2013/03
TI  - Chaotic System Parameter Identification Based on Firefly Optimization
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 2320
EP  - 2323
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.581
DO  - 10.2991/iccsee.2013.581
ID  - Gao2013/03
ER  -