Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 5
1360-1367,1374

Improving seagull optimization algorithm combined multiple strategies and its application

Li Dahai
Xiong Wenqing
Wang Zhendong
School of Information Engineering, Jiangxi University of Science & Technology, Ganzhou Jiangxi 341000, China
DOI: 10.19734/j.issn.1001-3695.2022.09.0469

Abstract

As a stochastic search algorithm, the seagull optimization algorithm(SOA) has significant optimization performance, but it still has the problem of low population diversity and easy to fall into local optimum which resulting in low optimization accuracy. This paper proposed an improving seagull optimization algorithm combined multiple strategies(CMSOA) to improve the defects of the seagull optimization algorithm. Firstly, it used the sine-cosine algorithm(SCA) to perturb and update the stagnant seagull population in the iterative process, which improved the diversity of the overall population. Secondly, it introduced a scaling factor to adjust dynamically the relative displacement between the current seagull individual and the optimal individual, which improved the exploration and development ability of the algorithm. Finally, it adopted the random opposition-based learning to fine-tune the optimal individual position of the seagull, which leaded the entire seagull move to the correct position in the given search space to improve the ability to jump out of the local optimum, and further increased the optimization accuracy. In order to test the optimization performance of the CMSOA algorithm, this paper used 14 CEC2017 test functions as the test benchmark to test the performance of CMSOA and others comparison algorithm. The experiment results show that CMSOA has the advantage of optimization in the statistical sense based on the Freidman test. CMSOA has also achieved the best results in the path planning of 3D UAV.

Foundation Support

国家自然科学基金资助项目(61563019,615620237)
江西理工大学校级基金资助项目(205200100013)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.09.0469
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 5
Section: Algorithm Research & Explore
Pages: 1360-1367,1374
Serial Number: 1001-3695(2023)05-012-1360-08

Publish History

[2022-12-09] Accepted Paper
[2023-05-05] Printed Article

Cite This Article

李大海, 熊文清, 王振东. 一种多策略协同改进的海鸥算法及其应用 [J]. 计算机应用研究, 2023, 40 (5): 1360-1367,1374. (Li Dahai, Xiong Wenqing, Wang Zhendong. Improving seagull optimization algorithm combined multiple strategies and its application [J]. Application Research of Computers, 2023, 40 (5): 1360-1367,1374. )

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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