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App. Res. of Comp. Accepted Paper
Vol. 42, 2025 No. 8

Sparrow search algorithm integrating orthogonal learning and dynamic equilibrium and its application

He Hongyu1
Pan Jiawen2
Qian Qian1
1. Faculty of Information Engineering & Automation, Kunming University of Science & Technology, Kunming Yunnan 650500, China
2. College of Information & Electrical Engineering, China Agricultural University, Beijing 100083, China
DOI: 10.19734/j.issn.1001-3695.2024.11.0526

Abstract

Aiming at the shortcomings of the sparrow search algorithm, such as slow convergence speed and unbalanced search ability, this paper proposes a sparrow search algorithm that integrates orthogonal learning and dynamic balance (SSAOD) . First, the SSAOD introduces an orthogonal learning strategy to strengthen the information transmission between individuals and improve the convergence speed of the algorithm. Then, the algorithm adopts a dynamic balance strategy to enhance the global exploration ability of the algorithm in the early iteration and the local exploitation ability in the later iteration, so as to balance the two search behaviors. SSAOD has the best overall optimization ability, better stability, faster convergence speed and higher accuracy on the IEEE CEC 2022 test functions. The proposed algorithm is also applied to the multi-threshold image segmentation problem. As a result, the image details are clearer and the information is more abundant, compared with the results of other algorithms. The experimental results show that the proposed SSAOD not only has better numerical optimization ability, but also has better ability to solve practical problems.

Foundation Support

国家自然科学基金地区基金资助项目(32060193)
云南省重大科技专项计划资助项目(202202AD080006)
云南省计算机技术应用重点实验室开放课题
云南省"兴滇英才支持计划"青年人才项目

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.11.0526
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 8

Publish History

[2025-04-07] Accepted Paper

Cite This Article

何洪玉, 潘家文, 钱谦. 融合正交学习和动态平衡的麻雀搜索算法及应用 [J]. 计算机应用研究, 2025, 42 (8). (2025-04-17). https://doi.org/10.19734/j.issn.1001-3695.2024.11.0526. (He Hongyu, Pan Jiawen, Qian Qian. Sparrow search algorithm integrating orthogonal learning and dynamic equilibrium and its application [J]. Application Research of Computers, 2025, 42 (8). (2025-04-17). https://doi.org/10.19734/j.issn.1001-3695.2024.11.0526. )

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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