Emergency Resource Allocation for Multi-Period Post-Disaster Using Multi-Objective Cellular Genetic Algorithm
发布时间：2021-10-20
点击次数：
影响因子：3.367
DOI码：10.1109/ACCESS.2020.2991865
发表刊物：IEEE ACCESS
摘要：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 & x2019; scientific decisions.
第一作者：Wang, FY; Pei, ZW; Dong, LJ ; Ma, J*
论文类型：期刊论文
学科门类：工学
一级学科：安全科学与工程
文献类型：J
卷号：8
页面范围：82255-82265
ISSN号：2169-3536
是否译文：否
发表时间：2020-07-29
收录刊物：SCI