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多地点协同恐怖袭击是最新恐怖袭击形式,会造成严重灾难和大范围社会恐慌.面对袭击时,不仅要考虑救援速度,而在警务救援过程中要综合考虑救援效率、救援效果和救援公平性,制定有效的警务应急物流调度方案以达到快速、高效的救援.本文考虑警务应急物流调度的三个目标,分别是未满足需求、最小最大到达时间和掠夺成本,建立了多个地点发生协同恐怖袭击的多个警务资源有效分配救援的多目标非线性规划模型,并利用改进的快速非支配排序遗传算法(NSGA-Ⅱ)对模型进行求解,以某市公安局的警力和医疗部署为基础,以多点同时发生恐怖袭击为背景进行数值实验,结果验证了模型和算法的合理性与有效性,并得出了受袭地点重要程度最短距离优先策略的救援效果较优于最近救援距离优先策略、合理的警务资源调度中心设置对救援调度有较好的效果、警力分散设置有利于减少恐怖袭击带来的影响的结论.
Multi-site collaborative terrorist attacks are the latest form of terrorist attacks that will cause serious disasters and widespread social panic. In the face of attacks, not only the speed of rescue should be taken into account, but also the efficiency of rescue efforts, the effectiveness of aid and the rescue and relief should be taken into account in the process of police rescue And establish an effective police emergency logistics dispatch program in order to achieve fast and efficient rescue.This paper considers the three objectives of the dispatching of police emergency logistics are the unmet need, the minimum and maximum arrival time and the cost of looting, the establishment of a number of locations The multi-objective non-linear programming model of rescue with multiple police resources in collaborative terrorist attack is effectively distributed. The improved rapid non-dominated ranking genetic algorithm (NSGA-Ⅱ) is used to solve the model. The police force and medical treatment The results show that the model and the algorithm are reasonable and effective. It is concluded that the aid effect of the shortest distance priority in the attacked location is better than the nearest Rescue distance priority strategy, a reasonable set of police resource scheduling center has a good effect on the rescue schedule, police force Casual setting helps to reduce the impact of the terrorist attacks brought about the conclusion.