• Journal of Internet Computing and Services
    ISSN 2287 - 1136 (Online) / ISSN 1598 - 0170 (Print)
    https://jics.or.kr/
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Hybrid Fireworks Algorithm with Dynamic Coefficients and Improved Differential Evolution


Lixian Li, Jaewan Lee, Journal of Internet Computing and Services, Vol. 22, No. 2, pp. 19-27, Apr. 2021
10.7472/jksii.2021.22.2.19, Full Text:
Keywords: Fireworks Algorithm; Dynamic Coefficient; Differential Evolution; Commensal Learning

Abstract

Fireworks Algorithm (FWA) is a new heuristic swarm intelligent algorithm inspired by the natural phenomenon of the fireworks explosion. Though it is an effective algorithm for solving optimization problems, FWA has a slow convergence rate and less information sharing between individuals. In this paper, we improve the FWA. Firstly, explosion operator and explosion amplitude are analyzed in detail. The coefficient of explosion amplitude and explosion operator change dynamically with iteration to balance the exploitation and exploration. The convergence performance of FWA is improved. Secondly, differential evolution and commensal learning (CDE) significantly increase the information sharing between individuals, and the diversity of fireworks is enhanced. Comprehensive experiment and comparison with CDE, FWA, and VACUFWA for the 13 benchmark functions show that the improved algorithm was highly competitive.


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Cite this article
[APA Style]
Li, L. & Lee, J. (2021). Hybrid Fireworks Algorithm with Dynamic Coefficients and Improved Differential Evolution. Journal of Internet Computing and Services, 22(2), 19-27. DOI: 10.7472/jksii.2021.22.2.19.

[IEEE Style]
L. Li and J. Lee, "Hybrid Fireworks Algorithm with Dynamic Coefficients and Improved Differential Evolution," Journal of Internet Computing and Services, vol. 22, no. 2, pp. 19-27, 2021. DOI: 10.7472/jksii.2021.22.2.19.

[ACM Style]
Lixian Li and Jaewan Lee. 2021. Hybrid Fireworks Algorithm with Dynamic Coefficients and Improved Differential Evolution. Journal of Internet Computing and Services, 22, 2, (2021), 19-27. DOI: 10.7472/jksii.2021.22.2.19.