Journal of System Simulation
Abstract
Abstract: Aiming at the uncertainty and multi-periodicity of emergency supply distribution, a novel period vehicle routing problem(PVRP) multi-objective optimization model is built and a three-step optimization method is proposed. A triangular fuzzy number is used to eliminate the uncertainty. An AHP approach is used to transform the multi-objective function into the single objective function. An improved ACO algorithm is proposed to solve the single objective optimization problem. By classical data set, the time effectiveness of proposed method on emergency supply distribution problem is verified. The computational advantage in convergence speed is proved by the comparative analysis of the proposed algorithm. The simulation results show the overall satisfaction degree and fairness degree of the algorithm on emergency supply distribution can be effectively ensured through applying the improved ACO algorithm.
Recommended Citation
Zhang, Li; He, Mingling; Yin, Qiushuang; Li, Ning; and Yu, Le'an
(2023)
"Research on Period Emergency Supply Distribution Optimization Under Uncertainty,"
Journal of System Simulation: Vol. 35:
Iss.
8, Article 4.
DOI: 10.16182/j.issn1004731x.joss.22-0485
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol35/iss8/4
First Page
1669
Last Page
1680
CLC
TP391.9
Recommended Citation
Zhang Li, He Mingling, Yin Qiushuang, et al. Research on Period Emergency Supply Distribution Optimization Under Uncertainty[J]. Journal of System Simulation, 2023, 35(8): 1669-1680.
DOI
10.16182/j.issn1004731x.joss.22-0485
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