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Algorithm Research & Explore
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3026-3032

Aquila optimization algorithm using hybrid search strategies

Fu Xiaopeng1
Wang Yong1,2
Feng Aiwu1
1. College of Artificial Intelligence, Guangxi Minzu University, Nanning 530006, China
2. Guangxi Key Laboratory of Hybrid Computation & IC Design Analysis, Nanning 530006, China

Abstract

Aiming at the shortcomings of Aquila optimization algorithm(AO), this paper proposed an Aquila optimization algorithm using hybrid search strategy. Firstly, the algorithm introduced dynamic adjustment function to balance global exploration and local exploitation. Secondly, it introduced chaotic adaptive weights to enhance the global search capability of the algorithm and accelerate the convergence speed of the algorithm. Thirdly, it introduced a new individual mutation probability coefficient and an improved differential mutation strategy, and used individuals with better fitness values to lead other individuals in the population to carry out search activities, which maintained the diversity of the population and enhanced the ability of the algorithm to jump out of the local optimum. The proposed algorithm was verified by experiments on the numerical experiment simulation of 8 benchmark test functions, 10 CEC2019 test functions and 1 engineering application problem. The experimental results show that the algorithm has a significant improvement in global convergence speed and optimization accuracy, and has a better ability to jump out of the local optimum.

Foundation Support

国家自然科学基金资助项目(61662005)
广西自然科学基金资助项目(2021GXNSFAA220068)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.04.0128
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 10
Section: Algorithm Research & Explore
Pages: 3026-3032
Serial Number: 1001-3695(2022)10-022-3026-07

Publish History

[2022-06-06] Accepted Paper
[2022-10-05] Printed Article

Cite This Article

付小朋, 王勇, 冯爱武. 采用混合搜索策略的阿奎拉优化算法 [J]. 计算机应用研究, 2022, 39 (10): 3026-3032. (Fu Xiaopeng, Wang Yong, Feng Aiwu. Aquila optimization algorithm using hybrid search strategies [J]. Application Research of Computers, 2022, 39 (10): 3026-3032. )

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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