Improved Harris hawk multi-objective point path planning algorithm for fast global optimization

Yong Jiawei
Zhang Ping
Jia Mengfei
Liu Wei
Wang Liangliang
School of Mechanical and Electrical Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China

Abstract

An improved Harris Hawk Optimization algorithm (IHHO) was proposed for multi-target path planning in photovoltaic panel cleaning. Traditional HHO algorithms showed uneven initial solution distribution and tended to fall into local optima. The improved algorithm integrated composite chaotic mapping and opposition-based learning for population initialization. An elite selection strategy ensured uniform solution distribution. This approach established a strong foundation for global search and local exploitation. A new position update strategy incorporated real-time population information and memory mechanisms. This method effectively prevented premature convergence to local optima. An adaptive spiral flight mechanism was also developed. It used a convergence factor to dynamically adjust search trajectories, enhancing optimal solution search efficiency. Simulation experiments compared IHHO with standard HHO and other optimization algorithms. The IHHO algorithm demonstrated superior optimization accuracy and stability across nine test functions. In two multi-target path planning scenarios, IHHO reduced path lengths by 2.9% and 6.0% compared to traditional HHO. Stability improvements reached 90.5% and 16.9% respectively. The algorithm also showed faster convergence speeds. The proposed algorithm effectively shortens path planning length and improves work efficiency. It proves particularly suitable for multi-target path planning in photovoltaic panel cleaning applications.

Foundation Support

陕西省秦创原"科学家+工程师"队伍建设项目(2024QCY-KXJ-140)
陕西重点研发计划项目(2025CY-YBXM-097)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.09.0378
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 5

Publish History

[2026-01-14] Accepted Paper

Cite This Article

雍嘉伟, 张平, 贾蒙飞, 等. 快速全局寻优的改进哈里斯鹰多目标点路径规划算法 [J]. 计算机应用研究, 2026, 43 (5). (2026-01-20). https://doi.org/10.19734/j.issn.1001-3695.2025.09.0378. (Yong Jiawei, Zhang Ping, Jia Mengfei, et al. Improved Harris hawk multi-objective point path planning algorithm for fast global optimization [J]. Application Research of Computers, 2026, 43 (5). (2026-01-20). https://doi.org/10.19734/j.issn.1001-3695.2025.09.0378. )

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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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