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Algorithm Research & Explore
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3647-3651,3665

Mixed strategy based improved whale optimization algorithm

He Qinga,b
Wei Kangyuana,b
Xu Qinshuaia,b
a. College of Big Data & Information Engineering, b. Guizhou Provincial Key Laboratory of Public Big Data, Guizhou University, Guiyang 550025, China

Abstract

In order to solve the disadvantage of the traditional whale optimization algorithm, which is slow convergence and easy to fall into local optimum, this paper proposed a mixed strategy based whale optimization algorithm. Firstly, it introduced the nonlinear adjustment strategy to modify the convergence factor, balanced the exploration and exploitation capability and accelerated the convergence speed. Then, it introduced an adaptive weighted coefficient into the position update formula of whales to improve the search precision of the algorithm. Finally, it combined the limit threshold idea of artificial bee colony algorithm to effectively jump out of the local optimum and prevent premature convergence. The results show that the proposed algorithm has better search precision and convergence speed through experiments on different dimensions of 14 benchmark functions.

Foundation Support

贵州省科技计划项目重大专项资助项目(黔科合重大专项字[2018]3002)
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.1001-3695.2018.07.0382
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 12
Section: Algorithm Research & Explore
Pages: 3647-3651,3665
Serial Number: 1001-3695(2019)12-027-3647-05

Publish History

[2019-12-05] Printed Article

Cite This Article

何庆, 魏康园, 徐钦帅. 基于混合策略改进的鲸鱼优化算法 [J]. 计算机应用研究, 2019, 36 (12): 3647-3651,3665. (He Qing, Wei Kangyuan, Xu Qinshuai. Mixed strategy based improved whale optimization algorithm [J]. Application Research of Computers, 2019, 36 (12): 3647-3651,3665. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

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.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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