Abstract
As an important part of emergency response, the post-disaster emergency resource allocation is essential for mitigating disaster losses. To realize the effective allocation of relief materials and the reasonable selection of transportation routes, a multi-objective resource allocation model is proposed, considering the characteristics of uncertainty and persistence during rescue process. Furthermore, the multi-objective cellular genetic algorithm (MOCGA) is developed to solve the model by introducing the auxiliary population and neighborhood structure in the cellular automata. Finally, the comparison experiment proves that the overall performance of MOCGA is satisfactory compared with non-dominated multi-objective whale optimization algorithm (NSMOWOA), non-dominated multi-objective grey wolf optimizer (NSMOGWO) and non-dominated sorting genetic algorithm (NSGA-II) in the pareto front (PF), the hypervolume, the average value of objective function, and the PF ratio. Results show that MOCGA can solve the multi-objective dynamic emergency resource allocation model well, and can provide decision-makers with more excellent and diverse candidate rescue schemes than other algorithms. Besides, by analyzing the rescue schemes, this paper also provides a theoretical rescue scheme for decision-makers' scientific decisions.
Highlights
In recent years, natural and man-made disasters, such as earthquake, typhoons, and flood, mine collapse, and landslides have occurred more frequently [1]–[7], threatening lives and property
To solve the characteristics of uncertainty and persistence during rescue process, the multi-period emergency resource allocation model is proposed in this paper
The efficient and reasonable emergency resource allocation schemes are of significance to the post-disaster rescue process
Summary
Natural and man-made disasters, such as earthquake, typhoons, and flood, mine collapse, and landslides have occurred more frequently [1]–[7], threatening lives and property. Through the development of emergency resource allocation, we can provide relevant rescue decision models and algorithms to help decision-makers optimize emergency facility location and formulate reasonable emergency material reserve plans It can ensure the requirement of emergency rescue supplies in an emergency situation, and formulate rescue schemes with minimal time and disaster losses. To solve the characteristics of uncertainty and persistence during rescue process, the multi-period emergency resource allocation model is proposed in this paper. To realize the effective emergency resource allocation and the reasonable transportation road choice simultaneously, a multi-objective model is established in this paper. For the effective emergency resource allocation and the reasonable transportation road choice, we propose a multi-objective post-disaster emergency resource allocation model and the characteristics of uncertainty and persistence during rescue process are considered.
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