Journal of System Simulation
Abstract
Abstract: Aiming at the emergency rescue, a dynamic directed rescue network is established with the dynamic changes of the location, demand, and affected population of disaster site, and a mathematical model is constructed with the maximum rescue efficiency. A data envelope analysis model is applied to evaluate the efficiency of each rescue route segment. An efficiency-based dynamic routing model is established to transform the dynamic routes into the multi-stage static routes through the time slice division. An improved hybrid greedy-ant colony optimization algorithm is designed to solve the model, and the proposed algorithm is compared with the genetic algorithm, particle swarm optimization and basic ant colony algorithm. The experimental results show that the improved hybrid greedy-ant colony optimization algorithm can effectively carry out the dynamic routing and the rescue efficiency is high.
Recommended Citation
Gao, Xinyu and Ni, Jing
(2022)
"Optimization of Dynamic Post-disaster Emergency Distribution Network under Perspective of Rescue Efficiency,"
Journal of System Simulation: Vol. 34:
Iss.
4, Article 16.
DOI: 10.16182/j.issn1004731x.joss.20-0885
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol34/iss4/16
First Page
806
Revised Date
2021-03-04
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.20-0885
Last Page
816
CLC
TP391.9
Recommended Citation
Xinyu Gao, Jing Ni. Optimization of Dynamic Post-disaster Emergency Distribution Network under Perspective of Rescue Efficiency[J]. Journal of System Simulation, 2022, 34(4): 806-816.
DOI
10.16182/j.issn1004731x.joss.20-0885
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