App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 8

Improved APO path planning algorithm fusing quantum inspiration and multi-level neighborhood

Wang Jichao1,2
Hui Zhenqiao1
Zhang Hanyu1
Liu Xintong1
1. Dept. of Electrical Automation, Hebei University of Water Resources and Electric Power, Cangzhou Hebei 061016, China
2. Hebei Provincial Innovation Center for Control and Reliability of Industrial Manipulators, Cangzhou Hebei 061001, China
DOI: 10.19734/j.issn.1001-3695.2025.11.0497

Abstract

To address the problems of local optima traps, slow convergence speed, and poor path smoothness in mobile robot path planning, an Improved Artificial Protozoa Optimizer (IAPO) was developed. The algorithm introduced a Multi-level Adaptive Neighborhood Structure Optimization strategy, which balanced global exploration and local exploitation through a layered mechanism and adaptive radius adjustment. A Quantum-Inspired State Transition Mechanism realized intelligent switching of behavioral strategies based on quantum superposition and entanglement properties to enhance the ability to escape local optima. A Chaos-Fractal Hybrid Dynamical System improved population ergodicity and solution accuracy using hybrid chaotic sequences and dynamic fractal dimensions. IEEE CEC2022 benchmark tests (F6–F11) showed that IAPO outperformed mainstream algorithms such as PSO, ACO, and COA in convergence accuracy by one to three orders of magnitude. Path planning experiments on 20×20, 30×30, and 50×50 grid maps demonstrated that IAPO achieved shorter and smoother paths while strictly satisfying obstacle avoidance constraints, effectively resolving the corner-cutting collision and wall-passing failure problems. The results confirm the efficiency and robustness of IAPO for mobile robot path planning in complex environments.

Foundation Support

国家自然科学基金项目(62273033)
河北省教育厅科学研究资助项目(ZC2025095)
沧州市自然科学基金项目(23241002014N)
河北水利电力学院基本科研业务费专项资金资助项目(SYKY2308)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.11.0497
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 8

Publish History

[2026-04-10] Accepted Paper

Cite This Article

王继超, 回振桥, 张瀚予, 等. 融合量子启发与多层邻域的改进APO路径规划算法 [J]. 计算机应用研究, 2026, 43 (8). (2026-04-30). https://doi.org/10.19734/j.issn.1001-3695.2025.11.0497. (Wang Jichao, Hui Zhenqiao, Zhang Hanyu, et al. Improved APO path planning algorithm fusing quantum inspiration and multi-level neighborhood [J]. Application Research of Computers, 2026, 43 (8). (2026-04-30). https://doi.org/10.19734/j.issn.1001-3695.2025.11.0497. )

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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