Algorithm Research & Explore
|
3232-3235

Research on electric vehicle routing problem based on reinforcement learning

Hu Shangmin
Shen Huizhang
Antai College of Economics & Management, Shanghai Jiaotong University, Shanghai 200030, China

Abstract

This paper took the electric vehicle routing problem(EVRP) with constraints of time, load and battery capacity as the research object, it considered its recharging need in transit, constructed a mathematic model aiming at minimizing the total route length, and proposed an algorithm RL-EVRP based on reinforcement learning. The algorithm generated instances sampled from a given distribution, and trained a model by applying a policy gradient method while keeping the route feasible. The trained model could solve other instances from similar distribution without the need to re-train. Simulation results show that the RL-EVRP can get shorter total route length and less number of vehicles and that the reinforcement learning can be applied to complicated combinatorial optimization problem successfully.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.07.0260
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 11
Section: Algorithm Research & Explore
Pages: 3232-3235
Serial Number: 1001-3695(2020)11-006-3232-04

Publish History

[2020-11-05] Printed Article

Cite This Article

胡尚民, 沈惠璋. 基于强化学习的电动车路径优化研究 [J]. 计算机应用研究, 2020, 37 (11): 3232-3235. (Hu Shangmin, Shen Huizhang. Research on electric vehicle routing problem based on reinforcement learning [J]. Application Research of Computers, 2020, 37 (11): 3232-3235. )

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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