An Improved Firefly Algorithm and its Application in Washout Optimization

Authors

Wang Hui, College of Aeronautical Engineering, Civil Aviation University of China, Tianjin 300300, China;
Xingshun Lü, College of Aeronautical Engineering, Civil Aviation University of China, Tianjin 300300, China;

Abstract

Abstract: To improve the accuracy of the firefly algorithm (FA) and solve the problem of fixed iteration step of the algorithm and easy to fall into local optimum, an improved firefly algorithm is proposed, i.e., EOFA. The EOFA algorithm combines the strong local search ability of extremal optimization algorithm with the strong search ability of firefly algorithm, and adopts the iterative step size of inverted s-type function to improve the optimization ability of the firefly algorithm. The simulation results of function optimization test shows that the improved EOFA algorithm has better optimization performance than firefly algorithm and particle swarm optimization (PSO) algorithm. The improved algorithm is applied to parameter optimization of washout algorithm, and satisfactory result is obtained.

Recommended Citation

Hui, Wang and Lü, Xingshun (2021) "An Improved Firefly Algorithm and its Application in Washout Optimization," Journal of System Simulation: Vol. 33: Iss. 2, Article 8.
DOI: 10.16182/j.issn1004731x.joss.19-0226
Available at: https://dc-china-simulation.researchcommons.org/journal/vol33/iss2/8

First Page

306

Revised Date

2019-10-15

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.19-0226

Last Page

314

CLC

TP391.9

Recommended Citation

Wang Hui, Lü Xingshun. An Improved Firefly Algorithm and its Application in Washout Optimization[J]. Journal of System Simulation, 2021, 33(2): 306-314.

Corresponding Author

Xingshun Lü,

DOI

10.16182/j.issn1004731x.joss.19-0226