• Journal of Internet Computing and Services
    ISSN 2287 - 1136 (Online) / ISSN 1598 - 0170 (Print)
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The Variable Amplitude Coefficient Fireworks Algorithm with Uniform Local Search Operator


Lixian Li, Jaewan Lee, Journal of Internet Computing and Services, Vol. 21, No. 3, pp. 21-28, Jun. 2020
10.7472/jksii.2020.21.3.21, Full Text:  HTML
Keywords: Fireworks Algorithm; Variable Amplitude Coefficiency; Uniform Local Search; Global Optimization

Abstract

Fireworks Algorithm (FWA) is a relatively novel swarm-based metaheuristic algorithm for global optimization. To solve the low-efficient local searching problem and convergence of the FWA, this paper presents a Variable Amplitude Coefficient Fireworks Algorithm with Uniform Local Search Operator (namely VACUFWA). Firstly, the explosive amplitude is used to adjust improving the convergence speed dynamically . Secondly, Uniform Local Search (ULS) enhances exploitation capability of the FWA. Finally, the ULS and Variable Amplitude Coefficient operator are used in the VACUFWA. The comprehensive experiment carried out on 13 benchmark functions. Its results indicate that the performance of VACUFWA is significantly improved compared with the FWA, Differential Evolution, and Particle Swarm Optimization.


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Cite this article
[APA Style]
Li, L. & Lee, J. (2020). The Variable Amplitude Coefficient Fireworks Algorithm with Uniform Local Search Operator. Journal of Internet Computing and Services, 21(3), 21-28. DOI: 10.7472/jksii.2020.21.3.21.

[IEEE Style]
L. Li and J. Lee, "The Variable Amplitude Coefficient Fireworks Algorithm with Uniform Local Search Operator," Journal of Internet Computing and Services, vol. 21, no. 3, pp. 21-28, 2020. DOI: 10.7472/jksii.2020.21.3.21.

[ACM Style]
Lixian Li and Jaewan Lee. 2020. The Variable Amplitude Coefficient Fireworks Algorithm with Uniform Local Search Operator. Journal of Internet Computing and Services, 21, 3, (2020), 21-28. DOI: 10.7472/jksii.2020.21.3.21.