Optimized firefly algorithm based on levy flight and Gaussian inertial weight

Hongyi Tang; Wu Xu; Yingjun Chen; Haodong Yang

doi:10.1117/12.2623236

16 February 2022 Optimized firefly algorithm based on levy flight and Gaussian inertial weight

Hongyi Tang, Wu Xu, Yingjun Chen, Haodong Yang

Proceedings Volume 12083, Thirteenth International Conference on Graphics and Image Processing (ICGIP 2021); 1208303 (2022) https://doi.org/10.1117/12.2623236
Event: Thirteenth International Conference on Graphics and Image Processing (ICGIP 2021), 2021, Kunming, China

Abstract

In order to solve the problem of slow convergence rate and premature stagnation of standard firefly algorithm (FA), an optimized firefly algorithm based on Levy flight and Gaussian function inertia weight (LFAGDIW) was proposed. This algorithm designs a decreasing inertia weight based on Gaussian function and adds it to the position updating formula to improve the convergence speed of the algorithm. Levy flight strategy is introduced to realize the random movement of individual fireflies and make the optimal search result jump out of the local optimal. Simulation test shows that the improved algorithm has a better convergence effect and avoids falling into local optimum.

Citation Download Citation

Hongyi Tang, Wu Xu, Yingjun Chen, and Haodong Yang "Optimized firefly algorithm based on levy flight and Gaussian inertial weight", Proc. SPIE 12083, Thirteenth International Conference on Graphics and Image Processing (ICGIP 2021), 1208303 (16 February 2022); https://doi.org/10.1117/12.2623236

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