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Algorithm Research & Explore
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2984-2988,3002

Research on time-varying route optimization method for truck and UAV joint delivery considering customer value

Wen Tingxin
Lyu Yanhua
School of Business Administration, Liaoning Technical University, Huludao Liaoning 125000, China

Abstract

Aiming at the problems of low timelessness and low customer value caused by the increase of vehicle ownership and congestion, the paper proposed a time-varying route optimization method of truck and UAV joint delivery after considering the factors of customer value and cost. Considering the congestion in different time periods in the delivery process, it used the speed distribution function to describe the vehicle speed and the constraints such as customer time window and it toke vehicle load and UAV load into account to establish a mathematical model with minimum cost. According to the characteristics of the model, it introduced K-means to cluster customers' locations and designed a hybrid particle swarm optimization algorithm to solve the model. Finally, the paper used Solomom data to conduct simulation experiments to verify the validity of the model and algorithm. The experimental results show that compared with static network model without considering customer value, the model can reduce 9.32% cost, improve 16.83% customer value and 21.28% customer satisfaction, and the proposed algorithm in this paper has certain effectiveness in reducing distribution cost and improving enterprise economic benefits.

Foundation Support

国家自然科学基金资助项目(71371091)
辽宁省社会科学规划基金资助项目(L14BTJ004)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.03.0100
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 10
Section: Algorithm Research & Explore
Pages: 2984-2988,3002
Serial Number: 1001-3695(2022)10-015-2984-05

Publish History

[2022-05-16] Accepted Paper
[2022-10-05] Printed Article

Cite This Article

温廷新, 吕艳华. 考虑客户价值的卡车与无人机联合配送时变路径优化方法 [J]. 计算机应用研究, 2022, 39 (10): 2984-2988,3002. (Wen Tingxin, Lyu Yanhua. Research on time-varying route optimization method for truck and UAV joint delivery considering customer value [J]. Application Research of Computers, 2022, 39 (10): 2984-2988,3002. )

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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