Robot cooperative area search based on multi-objective seagull optimization algorithm

Li Xian1
Zhang Yamin2a
Huang Junwei2b
1. Dept. of Software Technology, Zhengzhou Vocational College of Industrial Safety, Zhengzhou 450000, China
2. a. Library, b. Science and Technology Research Institute, Zhengzhou University, Zhengzhou 450000, China

Abstract

To solve the multi-objective optimization problem in robot cooperative area search, a Multi-Objective Seagull Optimization Algorithm (MOSOA) was proposed, and its performance was verified. The algorithm includes a neighborhood crowding degree-based objective selection mechanism, along with a dynamic archive size adjustment strategy and an adaptive archive update rule. It is proven that the Pareto optimal solution sequence generated by MOSOA converges to the true Pareto optimal front with probability 1. Two types of multi-objective test functions were used to verify the basic performance of the algorithm, which was then applied to robot cooperative area search tasks. Results show that compared with the Multi-Objective Particle Swarm Optimization (MOPSO) , MOSOA reduces the path length standard deviation by approximately 40.1%, shortens the average path length by 12%, and increases the average coverage rate by 3.2%.

Foundation Support

河南省自然科学基金资助项目(222300420550)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.09.0403
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 6

Publish History

[2026-02-04] Accepted Paper

Cite This Article

李娴, 张亚敏, 黄俊伟. 基于MOSOA的机器人协同区域搜索 [J]. 计算机应用研究, 2026, 43 (6). (2026-02-25). https://doi.org/10.19734/j.issn.1001-3695.2025.09.0403. (Li Xian, Zhang Yamin, Huang Junwei. Robot cooperative area search based on multi-objective seagull optimization algorithm [J]. Application Research of Computers, 2026, 43 (6). (2026-02-25). https://doi.org/10.19734/j.issn.1001-3695.2025.09.0403. )

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  • Application Research of Computers Monthly Journal
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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.

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