Simulation Study on Scheduling Strategy of Dynamic Vehicle Routing Problem

Authors

Ning Tao, 1. Institute of Software, Dalian Jiaotong University, Dalian 116045, China; ;2. School of Management, Dalian University of Technology, Dalian 116026, China;
Guo Chen, 2. School of Management, Dalian University of Technology, Dalian 116026, China;
Chen Rong, 2. School of Management, Dalian University of Technology, Dalian 116026, China;
Jin Hua, 1. Institute of Software, Dalian Jiaotong University, Dalian 116045, China; ;

Abstract

Abstract: For the purpose of solving the rescheduling of dynamic vehicle routing problem, the simulation model was established to minimize the cost and optimize the stability. The method of double chains structure coding was proposed. An improved hybrid multi-phases quantum particle swarm algorithm was proposed. An AHP (Analytic hierarchy process strategy) was introduced to obtain the optimal strategy from the Pareto solution. A novel method was applied to a dynamic simulation and the result of comparing with other classical algorithms verifies its effectiveness.

Recommended Citation

Tao, Ning; Chen, Guo; Rong, Chen; and Hua, Jin (2020) "Simulation Study on Scheduling Strategy of Dynamic Vehicle Routing Problem," Journal of System Simulation: Vol. 27: Iss. 12, Article 10.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol27/iss12/10

First Page

2942

Revised Date

2015-01-21

DOI Link

https://doi.org/

Last Page

2947

CLC

TP391.9A

Recommended Citation

Ning Tao, Guo Chen, Chen Rong, Jin Hua. Simulation Study on Scheduling Strategy of Dynamic Vehicle Routing Problem[J]. Journal of System Simulation, 2015, 27(12): 2942-2947.