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A new mutation operator for differential evolution algorithm

delete2021-08-11
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PRE
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M
Mingcheng Zuo *
G
Guangming Dai
L
Lei Peng
DOI:10.1007/s00500-021-06077-6delete
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摘要

摘要

En 中文
The widely employed mutation operator DE/current - to- pbest/1 in the differential evolution algorithm (DE) is further developed to a newversion DE/current- to- pbest/1- X in this paper. To test its performance, it has been embedded in the novel successful history-based adaptive DE (L-SHADE) and compared with other recently proposed mutation operators. In DE/current - to- pbest/1- X, the updated parameter memories in each generation are not adopted when the initial value can still maintain an acceptable successful rate of finding better offspring. Also, the generatedworse offsprings with acceptable fitness values are partially archived to generate differential vectors. The experimental results show that DE/current - to - pbest/1 - X has a comparable performance than DE/current - to - pbest/1, DE/current - to - ord_ pbest/1 and DE/current - to - ord_best/1.
Keyword:
Differential evolution
Mutation operator
Scaling factor
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期刊

Soft Computing 封面图
Soft Computing
IF:
2.5
论文数:
1.0W
被引数:
2.1W

机构

C
China University of Geosciences
学者数:
3.7W
论文数: 2.8W
被引数: 4.3W
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