Algorithm Research & Explore
|
142-149

Improved hunter prey optimization algorithm based on leader competitive strategy

Chang Yaohua
Wei Genyuan
Dept. of Automation, North China Electric Power University, Baoding Hebei 071003, China

Abstract

Aiming at the problems of low optimization accuracy and easy to fall into local optimization of hunter prey optimization algorithm, this paper proposed an improved hunter prey optimization algorithm based on leader competitive strategy. Firstly, this paper randomly divided the population into three subgroups and adopted different search strategies to expand the search scope. Secondly, it adopted an elite combination mutation strategy to enhance the diversity of population offspring and avoid local optima. Finally, it proposed a leader competitive strategy, used the information exchange between individuals, integrated various strategies, and screened out the optimal variables. Through numerical experiments and application to engineering optimization problems, the results show that the proposed algorithm has better optimization ability than the comparison algorithm, verifying the effectiveness and reliability of the improved strategy.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.05.0222
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 1
Section: Algorithm Research & Explore
Pages: 142-149
Serial Number: 1001-3695(2024)01-021-0142-08

Publish History

[2023-07-25] Accepted Paper
[2024-01-05] Printed Article

Cite This Article

常耀华, 韦根原. 基于领导者竞争策略的改进猎人猎物优化算法 [J]. 计算机应用研究, 2024, 41 (1): 142-149. (Chang Yaohua, Wei Genyuan. Improved hunter prey optimization algorithm based on leader competitive strategy [J]. Application Research of Computers, 2024, 41 (1): 142-149. )

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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