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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 10
2996-3002

Aquila optimizer integrating differential mutation and tangent flight

Xu Yifeng
Liu Sheng
Liu Yusong
Zhang Weikang
School of Management, Shanghai University of Engineering Science, Shanghai 201620, China
DOI: 10.19734/j.issn.1001-3695.2022.03.0129

Abstract

The aquila optimizer(AO), although capable of robust global exploration, had problems with inadequate local development. In the study, this paper proposed a differential evolution mutation and tangent flight aquila optimizer(DEtanAO). Firstly, the mutation operation in the differential evolution algorithm could make the algorithm had strong development ability and made up for the shortcomings of the AO algorithm. Then, the tangent flight strategy in the tangent search algorithm had a strong ability to explore the search space and could make the algorithm jump out of the local optimal solution, which was used to replace the Lévy flight in the AO algorithm. The combination of these two strategies effectively balanced the exploration and exploitation stage of the DEtanAO algorithm. Finally, in order to verify the optimization performance of the DEtanAO algorithm, the optimization ability of the improved algorithm was tested in 12 standard benchmark functions, high-dimensional functions, Wilcoxon rank-sum test, and engineering optimization problems. Compared with other newly proposed intelligent algorithms, the results show that the optimization ability and convergence speed of the DEtanAO algorithm is better.

Foundation Support

国家自然科学基金资助项目(61673258,61075115)
上海市自然科学基金资助项目(19ZR1421600)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.03.0129
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 10
Section: Algorithm Research & Explore
Pages: 2996-3002
Serial Number: 1001-3695(2022)10-017-2996-07

Publish History

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

Cite This Article

徐亦凤, 刘升, 刘宇凇, 等. 融合差分变异和切线飞行的天鹰优化器 [J]. 计算机应用研究, 2022, 39 (10): 2996-3002. (Xu Yifeng, Liu Sheng, Liu Yusong, et al. Aquila optimizer integrating differential mutation and tangent flight [J]. Application Research of Computers, 2022, 39 (10): 2996-3002. )

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.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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