Special Section on Nonlinear Science Workshop on the Journal
Differential evolution with perturbation for continuous function optimization
2022 年 13 巻 2 号 p. 239-245
詳細
2022 年 13 巻 2 号 p. 239-245
This paper presents differential evolution with perturbation (DEP) for continuous function optimization. Differential evolution is a simple and efficient algorithm. Perturbation is the phenomenon that the motion by the contribution of the main force is disturbed by the influence subsidiary power. In order to show the effectiveness of the proposed algorithm, we compare it to existing algorithms by CEC2017 datasets.
