Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 8
2435-2439

Scheduling optimization algorithm of transportation vehicles for dynamic changes of flood control materials

Chen Yourong1,2
Lu Junjie2
Zhao Kehua1
Liu Banteng1
Sun Ping1
Chen Suming3
1. College of Information Science & Technology, Zhejiang Shuren University, Hangzhou 310015, China
2. School of Computer Science & Artificial Intelligence & Aliyun School of Big Dataschool of Information Science & Engineering, Changzhou University, Changzhou Jiangsu 213164, China
3. Zhejiang Provincial Flood Control Technology Center, Hangzhou 310015, China
DOI: 10.19734/j.issn.1001-3695.2020.10.0361

Abstract

In order to solve the scheduling problem of flood control materials with the change of disaster demands in the process of flood control and disaster relief, this paper proposed a scheduling optimization algorithm of transportation vehicles(SOA_TV) for dynamic change of flood control materials. Considering the constraints of vehicle loads limit, the number of dispatched vehicles and the moving distance, SOA_TV established the capacity scheduling optimization model of flood control materials. According to the known disaster information and storage information, it determined the minimum number of vehicles required for disaster, and obtained the material set to be transported. Then it initialized the vehicle collection according to the nearest neighbor principle and constructed a bipartite graph through vehicle moving distance threshold and edge weight calculation. SOA_TV performed matrix conversion to obtain a low-dimensional matrix. Finally, considering the material distribution under the conditions of unchanged demand and dynamic changed demand, SOA_TV updated the edge weights according to the transportation distance between the warehouse points and the vehicle load, and executed KM algorithm many times until obtained the approximate optimal solution of the target model. The experimental results show that SOA_TV can find better solution in a variety of experimental scenarios. Compared with the GA and ABC, SOA_TV slightly reduces the total distance of vehicle movement, but greatly reduces its calculation time, and calculates a better vehicle allocation plane in a very short time. Compared with Hungarian, SOA_TV reduces the calculation time and the total distance of vehicle movement.

Foundation Support

浙江省公益技术应用研究项目(LGG20F010009,LGF19F010006)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.10.0361
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 8
Section: Algorithm Research & Explore
Pages: 2435-2439
Serial Number: 1001-3695(2021)08-034-2435-05

Publish History

[2021-08-05] Printed Article

Cite This Article

陈友荣, 卢俊杰, 赵克华, 等. 面向防汛物资动态变化的运输车辆调度优化算法研究 [J]. 计算机应用研究, 2021, 38 (8): 2435-2439. (Chen Yourong, Lu Junjie, Zhao Kehua, et al. Scheduling optimization algorithm of transportation vehicles for dynamic changes of flood control materials [J]. Application Research of Computers, 2021, 38 (8): 2435-2439. )

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  • Application Research of Computers Monthly Journal
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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.

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