Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 1
157-162,169

Seagull optimization algorithm combining golden sine and sigmoid continuity

Wang Ninga,b
He Qinga,b
a. China College of Big Data & Information Engineering, b. Guizhou Provincial Key Laboratory of Public Big Data, Guizhou University, Guiyang 550025, China
DOI: 10.19734/j.issn.1001-3695.2021.05.0176

Abstract

Aiming at the problems in the iterative process of seagull optimization algorithm(SOA), such as local optimization, slow convergence speed and low optimization accuracy, this paper proposed a golden sine guide and sigmoid continuous seagull optimization algorithm(GSCSOA). In the seagull migration stage, the algorithm used the sigmoid function as a nonlinear convergence factor to guide the seagull search process, so that the algorithm maintained a stronger global optimization ability in the early stage and converged faster in the later stage. In the seagull rushing stage, it introduced the idea of Taboo search, so that the seagulls always moved to the area with higher confidence, and the optimal position continued to change in one iteration, which improved the optimization accuracy. After that, it used the golden sine mechanism to guide the population position to update, which narrowed the search range, and improved the local optimization ability. Finally, this paper used 12 test functions and CEC2014 function set to test the improved algorithm, and the results prove that the improved seagull algorithm has better convergence speed and accuracy than original algorithm and other algorithms.

Foundation Support

贵州省科技计划重大专项项目(黔科合重大专项字［2018］3002,黔科合重大专项字［2016］3022)
贵州省公共大数据重点实验室开放课题(2017BDKFJJ004)
贵州省教育厅青年科技人才成长项目(黔科合KY字［2016］124)
贵州大学培育项目(黔科合平台人才［2017］5788)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.05.0176
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 1
Section: Algorithm Research & Explore
Pages: 157-162,169
Serial Number: 1001-3695(2022)01-028-0157-06

Publish History

[2022-01-05] Printed Article

Cite This Article

王宁, 何庆. 融合黄金正弦与sigmoid连续化的海鸥优化算法 [J]. 计算机应用研究, 2022, 39 (1): 157-162,169. (Wang Ning, He Qing. Seagull optimization algorithm combining golden sine and sigmoid continuity [J]. Application Research of Computers, 2022, 39 (1): 157-162,169. )

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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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