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

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

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...

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Bibliographic Details
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
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Institution: Nanyang Technological University
Language: English

Internet

https://hdl.handle.net/10356/163499

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