Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 5
1352-1359

Multi-strategy improved aquila optimizer and its application

Li Yamei
Meng Sibo
Chen Xuelian
Faculty of Electrical & Control Engineering, Liaoning Technical University, Huludao Liaoning 125105, China
DOI: 10.19734/j.issn.1001-3695.2022.09.0482

Abstract

In order to improve the shortcomings of the aquila optimizer(AO) in solving complex optimization problems, such as easily falling into local optimality, this paper proposed a multi-strategy improved aquila optimizer(MIAO). Firstly, this paper proposed the mirror simplex method strategy to expand the search range of aquila optimizer, enhancing the population diversity and the ability to escape from shackles. Secondly, the X3 phase of the aquila optimizer combined the social free foraging strategy to escape from the bondage of global mean and improved the diversity of individual aquatic eagles in the late iteration. At the same time, the X4 phase incorporated the ladder stepping strategy to ensure that the current dominant individuals accelerated the trend toward the global optimum and increased the convergence speed. Finally, it enhanced the optimization ability of the algorithm by improving the original development mechanism. Experimental results and Wilcoxon signed rank sum test results of 10 commonly used benchmark functions and some of the CEC2017 functions show that the improved algorithm has better performance in terms of accuracy, convergence and stability. In addition, through testing and analyzing a mechanical optimization design experiment to further verify the superiority and practicability of the improved algorithm.

Foundation Support

国家自然科学基金资助项目(51974151,71771111)
辽宁省教育厅基金项目(LJ2019JL022,LJ2019JL013)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.09.0482
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 5
Section: Algorithm Research & Explore
Pages: 1352-1359
Serial Number: 1001-3695(2023)05-011-1352-08

Publish History

[2022-12-08] Accepted Paper
[2023-05-05] Printed Article

Cite This Article

李雅梅, 孟嗣博, 陈雪莲. 多策略改进的天鹰优化算法及其应用 [J]. 计算机应用研究, 2023, 40 (5): 1352-1359. (Li Yamei, Meng Sibo, Chen Xuelian. Multi-strategy improved aquila optimizer and its application [J]. Application Research of Computers, 2023, 40 (5): 1352-1359. )

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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