App. Res. of Comp. Accepted Paper
Vol. 41, 2024 No. 8

Improved hybrid particle swarm optimization algorithm for vehicle routing problem with drone and time window

Ye Liwei1
Wu Junhao1,2
Qi Yuanhang1,2
Luo Haoyu1,2
Huang Gewen3
Wang Fujie4
1. School of Computer Science, University of Electronic Science & Technology of China, Zhongshan Institute, Zhongshan 528402, China
2. School of Automation, Guangdong University of Technology, Guangzhou Guangdong 510006, China
3. Information & Network Center, Jiaying University, Meizhou Guangdong 514015, China
4. Excellent Engineer College, Dongguan University of Technology, Dongguan Guangdong 523808, China
DOI: 10.19734/j.issn.1001-3695.2023.12.0608

Abstract

In order to improve the delivery efficiency of logistics, this paper proposed a vehicle routing problem with drone and time window considered by the time window, UAV (Unmanned Aerial Vehicle) power change and multi-point continuous delivery of UAV. Then, this paper proposed a hybrid particle swarm optimization algorithm with local search to solve it. Based on the hybrid particle swarm optimization algorithm, the proposed algorithm transformed the problem solution space into the algorithm search space by constructing an efficient encoding and decoding strategies. Further, the proposed algorithm combined a single point insertion strategy, a vehicle replacement strategy and a UAV replacement strategy to form a local search strategy to improve the optimization ability. The experimental results show that the proposed model is more efficient than the model of pure vehicle distribution and saves 31.51% of the cost. The proposed algorithm is better than the four comparison algorithms, and the highest optimization rate is 82.08%.

Foundation Support

国家自然科学基金资助项目(62203116)
广东省基础与应用基础研究基金资助项目(2022A1515240058)
广东省普通高校重点领域专项(2022ZDZX4049,2022ZDZX1045,2023ZDZX1040)
广东省普通高校青年创新人才项目(2022KTSCX138,2022KQNCX153,2023KQNCX102)
中山市社会公益与基础研究项目(2021B2063)
嘉应学院人才科研启动项目(2022RC127)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.12.0608
Publish at: Application Research of Computers Accepted Paper, Vol. 41, 2024 No. 8

Publish History

[2024-03-08] Accepted Paper

Cite This Article

叶立威, 吴钧皓, 戚远航, 等. 改进混合粒子群算法求解带时间窗的无人机与车辆协同路径调度问题 [J]. 计算机应用研究, 2024, 41 (8). (2024-04-10). https://doi.org/10.19734/j.issn.1001-3695.2023.12.0608. (Ye Liwei, Wu Junhao, Qi Yuanhang, et al. Improved hybrid particle swarm optimization algorithm for vehicle routing problem with drone and time window [J]. Application Research of Computers, 2024, 41 (8). (2024-04-10). https://doi.org/10.19734/j.issn.1001-3695.2023.12.0608. )

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.

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