A Surface-Simplex Swarm Evolution Algorithm

In the paper,a particle surface-simplex search（PSSS） is designed based on particle surface-simplex and particle surface-simplex neighborhood.Using PSSS and an evolutionary strategy of multi-states swarm,a surface-simplex swarm evolution（SSSE） algorithm for numerical optimization is proposed.In the e...

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Bibliographic Details
Published in:Wuhan University journal of natural sciences 2017-02, Vol.22 (1), p.38-50
Main Authors: Quan, Haiyan, Shi, Xinling
Format: Article
Language:English
Subjects:
Algorithms
Biomedical and Life Sciences
Computer Science
Earth gravitation
Evolutionary algorithms
Life Sciences
Materials Science
Mathematics
Optimization
Sorption
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Summary:In the paper,a particle surface-simplex search（PSSS） is designed based on particle surface-simplex and particle surface-simplex neighborhood.Using PSSS and an evolutionary strategy of multi-states swarm,a surface-simplex swarm evolution（SSSE） algorithm for numerical optimization is proposed.In the experiments,SSSE is applied to solve 17 benchmark problems and compared with the other intelligent optimization algorithms.In the application,SSSE is used to analyze the three intrinsic independent components of gravity earth tide.The results demonstrate that SSSE can accurately find optima or close-to-optimal solutions of the complex functions with high-dimension.The performance of SSSE is stable and efficient.
ISSN:1007-1202
1993-4998
DOI:10.1007/s11859-017-1214-9