Probabilistic Analysis of Search Performance of Differential Evolution Algorithm in Low-Dimensional Case

In this paper, a method of establishing and analyzing the probability model of its mutation and crossoperation process for differential evolution (DE) algorithm is proposed; especially, the escape ability and further optimization ability of individuals trapped in the local optimal neighborhood are d...

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Bibliographic Details
Published in:Wireless communications and mobile computing 2022-06, Vol.2022, p.1-21
Main Authors: Wang, Congjiao, Wei, Yuhan, Hou, Yanlin, Wu, Wenjia, Huang, Cong, Chen, Jing
Format: Article
Language:English
Subjects:
Archives & records
Efficiency
Evolutionary algorithms
Evolutionary computation
Genetic algorithms
Mutation
Optimization
Population
Probabilistic analysis
Research methodology
Scaling factors
Statistical analysis
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Summary:In this paper, a method of establishing and analyzing the probability model of its mutation and crossoperation process for differential evolution (DE) algorithm is proposed; especially, the escape ability and further optimization ability of individuals trapped in the local optimal neighborhood are deduced in detail, and the characteristic curves of the influence of key parameters such as population size, scaling factor, and crossfactor on the search performance of the algorithm are obtained. It provides a theoretical reference for the application of the algorithm.
ISSN:1530-8669
1530-8677
DOI:10.1155/2022/3936999