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.
Recommended Citation
Zhang, Li; Zhang, Huizhen; Liu, Dong; and Lu, Yuxin
(2022)
"Particle Swarm Algorithm for Solving Emergency Material Dispatch Considering Urgency,"
Journal of System Simulation: Vol. 34:
Iss.
9, Article 8.
DOI: 10.16182/j.issn1004731x.joss.21-0362
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol34/iss9/8
First Page
1988
Revised Date
2021-08-08
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.21-0362
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.
DOI
10.16182/j.issn1004731x.joss.21-0362
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