•  
  •  
 

Journal of System Simulation

Abstract

Abstract: In the early stage of major public health events, medical supplies are rapidly consumed and severely insufficient. In order to distribute medical supplies in a reasonable and efficient manner, research on the distribution of emergency medical materials is carried out. The entropy method is introduced to determine the urgency of demand points, thus could give priority to the demand points with high urgency and make the distribution routing as short as possible on that basis to realize the construction of a split delivery and multi-objective emergency medical materials scheduling model based on different urgency of demand points. Meanwhile the particle swarm optimization algorithm is improved by using dynamic intertia weight and adding particle disturbance term to solve the model. The results show that this method can efficiently solve the problem of emergency material allocation and vehicle routing plan generation under the condition of resource shortage.

First Page

1988

Revised Date

2021-08-08

Last Page

1998

CLC

TP391.9

Recommended Citation

Li Zhang, Huizhen Zhang, Dong Liu, Yuxin Lu. Particle Swarm Algorithm for Solving Emergency Material Dispatch Considering Urgency[J]. Journal of System Simulation, 2022, 34(09): 1988-1998.

Corresponding Author

Huizhen Zhang,zhzzywz@163.com

DOI

10.16182/j.issn1004731x.joss.21-0362

Share

COinS