App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 6

Improved crested porcupine optimizer with dynamic scaling mechanism for UAV path planning

Wu Gang
Li Kaiyuan
Guo Shuang
Li Jiajie
College of Intelligent Science and Information Engineering, Shenyang University, Shenyang 110044, China
DOI: 10.19734/j.issn.1001-3695.2025.10.0429

Abstract

To address the complex optimization problem of UAV three-dimensional path planning, this study aimed to enhance algorithm performance and path quality. The original Crested Porcupine Optimizer (CPO) was systematically modified, and an improved version named the Dynamic Scaling Crested Porcupine Optimizer (DSCPO) was proposed. An elite random opposition-based learning strategy was introduced to improve initial population quality. A dynamic fitness scaling mechanism was designed to adaptively adjust selection pressure. The position update strategy during the defense phase was optimized. A hybrid differential mutation strategy was integrated to enhance global exploration and local exploitation capabilities. On 11 representative CEC2017 benchmark functions, DSCPO obtained the best mean values on 9 functions. Its overall ranking significantly outperformed other comparative algorithms, demonstrating superior convergence accuracy, speed, and stability. Furthermore, DSCPO was applied to UAV path planning in complex 3D environments. Simulation results show that DSCPO plans shorter, smoother, and safer flight paths. The best path length is 72.849, the average length is 74.873, and the standard deviation is merely 0.027. All performance metrics surpass those of the compared algorithms. These results verify the effectiveness and reliability of DSCPO in path planning tasks.

Foundation Support

辽宁省教育厅基本科研项目(LJKZZ20220146)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.10.0429
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 6

Publish History

[2026-02-25] Accepted Paper

Cite This Article

武刚, 李开元, 郭爽, 等. 基于动态缩放机制改进的冠豪猪算法用于无人机路径规划 [J]. 计算机应用研究, 2026, 43 (6). (2026-02-25). https://doi.org/10.19734/j.issn.1001-3695.2025.10.0429. (Wu Gang, Li Kaiyuan, Guo Shuang, et al. Improved crested porcupine optimizer with dynamic scaling mechanism for UAV path planning [J]. Application Research of Computers, 2026, 43 (6). (2026-02-25). https://doi.org/10.19734/j.issn.1001-3695.2025.10.0429. )

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  • Application Research of Computers Monthly Journal
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    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.

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