Adaptive Dynamic Disturbance Strategy for Differential Evolution Algorithm

Adaptive Dynamic Disturbance Strategy for Differential Evolution Algorithm

To overcome the problems of slow convergence speed, premature convergence leading to local optimization and parameter constraints when solving high-dimensional multi-modal optimization problems, an adaptive dynamic disturbance strategy for differential evolution algorithm (ADDSDE) is proposed. First...

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Bibliographic Details
Main Authors: Tiejun Wang, Kaijun Wu, Tiaotiao Du, Xiaochun Cheng
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Applied Sciences
Subjects:
differential evolution algorithm
adaptive dynamic disturbance strategy
gauss perturbation
benchmark functions
Online Access:https://www.mdpi.com/2076-3417/10/6/1972

Internet

https://www.mdpi.com/2076-3417/10/6/1972

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