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http://dx.doi.org/10.7472/jksii.2020.21.3.21

The Variable Amplitude Coefficient Fireworks Algorithm with Uniform Local Search Operator  

Li, Lixian (School of Information Science and Technology, Jiujiang University)
Lee, Jaewan (Department of Information and Communication Engineering, Kunsan National University)
Publication Information
Journal of Internet Computing and Services / v.21, no.3, 2020 , pp. 21-28 More about this Journal
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.
Keywords
Fireworks Algorithm; Variable Amplitude Coefficiency; Uniform Local Search; Global Optimization;
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