An efficient differential evolution with fitness-based dynamic mutation strategy and control parameters

• Main Authors: Gupta, Shubham, Su, Rong
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Science::Mathematics::Applied mathematics::Optimization; Global Optimization; Differential Evolution
• Online Access: https://hdl.handle.net/10356/163499
• Institution: Nanyang Technological University

It is known that the performance of the differential evolution (DE) algorithm highly depends on the mutation strategy and its control parameters. However, it is arduous to choose an appropriate mutation strategy and control parameters for a given optimization problem. Therefore, in this paper, an ef...