한국인터넷정보학회 논문지
Current Result Document :
| 한글제목(Korean Title) |
Hybrid Fireworks Algorithm with Dynamic Coefficients and Improved Differential Evolution |
| 영문제목(English Title) |
Hybrid Fireworks Algorithm with Dynamic Coefficients and Improved Differential Evolution |
| 저자(Author) |
Lixian Li
Jaewan Lee
|
| 원문수록처(Citation) |
VOL 22 NO. 02 PP. 0019 ~ 0027 (2021. 04) |
한글내용
(Korean Abstract) |
|
영문내용
(English 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. |
| 키워드(Keyword) |
Fireworks Algorithm
Dynamic Coefficient
Differential Evolution
Commensal Learning
|
| 파일첨부 |
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