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

Optimization method for multi-visit collaborative path planning of truck-heterogeneous drones considering multiple transportation constraints

Guo Shenghui1
Zhao Jianfu1
Liang Xuedong2
Zhang Guohui1
Xu Shiqi1
1. School of Management Engineering, Zhengzhou University of Aeronautics, Zhengzhou 450046, China
2. Business School, Sichuan University, Chengdu 610064, China
DOI: 10.19734/j.issn.1001-3695.2025.11.0498

Abstract

This paper proposed a multi-visit collaborative routing optimization method with multiple transportation constraints to address the neglect of three-dimensional volume loading and drone heterogeneity in truck–drone collaborative delivery. It formulated a mixed-integer linear programming model to minimize total delivery completion time, incorporating constraints on drone payload capacity, three-dimensional volume loading, dynamic endurance, and drone heterogeneity. To solve the model efficiently, the study developed a multi-level hybrid intelligent optimization algorithm based on a time–load balancing strategy. The time–load balancing strategy enhanced local search capability, and the integration of an adaptive Q-learning reinforcement learning mechanism improved global search efficiency. experimental results showed that the proposed algorithm effectively improved solution quality and convergence speed. it achieved AN average improvement of over 20% in optimal solutions, with a coefficient of variation below 2.6%. the algorithm demonstrated superior performance in coordinating multi-drone tasks and optimizing transportation routes under multiple carrier constraints.truck–multi-drone multi-visit collaborative delivery with three-dimensional volume loading and drone heterogeneity constraints better reflects real-world low-altitude logistics scenarios.

Foundation Support

国家自然科学基金资助项目(52575603)
河南省重点研发专项项目(231111221200)
教育部人文社会科学规划基金资助项目(23YJAZH193)
河南省科技攻关项目(242102221024)
河南省自然科学基金资助项目(252300420985)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.11.0498
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 8

Publish History

[2026-04-10] Accepted Paper

Cite This Article

郭胜会, 赵建付, 梁学栋, 等. 考虑多运载约束的卡车—异构无人机多访问协同路径优化方法( [J]. 计算机应用研究, 2026, 43 (8). (2026-04-30). https://doi.org/10.19734/j.issn.1001-3695.2025.11.0498. (Guo Shenghui, Zhao Jianfu, Liang Xuedong, et al. Optimization method for multi-visit collaborative path planning of truck-heterogeneous drones considering multiple transportation constraints [J]. Application Research of Computers, 2026, 43 (8). (2026-04-30). https://doi.org/10.19734/j.issn.1001-3695.2025.11.0498. )

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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