Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 7
1979-1984

Optimization model and algorithm for vehicle routing problem with stochastic time and customer classification

Ma Jun1a,1b
Zhang Jihui1a,1b
Guo Yiyun2
1. a. Institute of Complexity Science, b. Shandong Key Laboratory of Industrial Control Technology, Qingdao University, Qingdao Shandong 266071, China
2. Qingdao Port International Co. , Ltd. , Qingdao Shandong 266011, China
DOI: 10.19734/j.issn.1001-3695.2021.12.0673

Abstract

For the vehicle routing problem with time window, stochastic travel and service time, and customer classification, this paper constructed a chance constrained programming model, which considered two class customers(ordinary customers and priority customers) and adopted the chance constraint to guarantee the punctual service possibility of priority customers. Meanwhile, this paper designed a variable neighborhood iterated local search algorithm to solve the model, and proposed a minimum waiting time heuristic rule to generate initial solution. Based on Solomon benchmarks, it conducted series of simulation experiments. The results show that the initial solution generation method is valid, the given algorithm can get approximate optimal solutions for both of the deterministic and stochastic problems in a short time, and the customer ratio is positively relative to the number of vehicle usage. The results have a certain reference significance to solve the problem of low customer ser-vice level caused by the limited resources and uncertain factors.

Foundation Support

国家自然科学基金资助项目(61673228,62072260)
青岛市科技计划资助项目(21-1-2-16-zhz)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.12.0673
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 7
Section: Algorithm Research & Explore
Pages: 1979-1984
Serial Number: 1001-3695(2022)07-009-1979-06

Publish History

[2022-02-24] Accepted Paper
[2022-07-05] Printed Article

Cite This Article

马俊, 张纪会, 郭乙运. 考虑客户分类的随机时间车辆路径优化模型与算法 [J]. 计算机应用研究, 2022, 39 (7): 1979-1984. (Ma Jun, Zhang Jihui, Guo Yiyun. Optimization model and algorithm for vehicle routing problem with stochastic time and customer classification [J]. Application Research of Computers, 2022, 39 (7): 1979-1984. )

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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