Securing Lifelines: Safe Delivery of Critical Services in Areas with Volatile Security Situation via a Stackelberg Game Approach

Tien Mai, Arunesh Sinha
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Abstract

Vaccine delivery in under-resourced locations with security risks is not just challenging but also life threatening. The COVID pandemic and the need to vaccinate added even more urgency to this issue. Motivated by this problem, we propose a general framework to set-up limited temporary (vaccination) centers that balance physical security and desired (vaccine) service coverage with limited resources. We set-up the problem as a Stackelberg game between the centers operator (defender) and an adversary, where the set of centers is not fixed a priori but is part of the decision output. This results in a mixed combinatorial and continuous optimization problem. As part of our scalable approximation solution, we provide a fundamental contribution by identifying general duality conditions of switching max and min when both discrete and continuous variables are involved. Via detailed experiments, we show that the solution proposed is scalable in practice.
确保生命线:通过Stackelberg博弈方法在安全形势不稳定的地区安全提供关键服务
在有安全风险的资源不足地区提供疫苗不仅具有挑战性,而且威胁生命。COVID大流行和接种疫苗的需求使这一问题更加紧迫。在这个问题的激励下,我们提出了一个建立有限临时(疫苗接种)中心的一般框架,以有限的资源平衡物理安全和期望的(疫苗)服务覆盖。我们将问题设置为中心运营者(防守者)和对手之间的Stackelberg博弈,其中中心的集合不是先验固定的,而是决策输出的一部分。这导致了一个混合组合和连续优化问题。作为可扩展近似解决方案的一部分,我们通过确定在涉及离散变量和连续变量时切换最大值和最小值的一般对偶条件提供了基本贡献。通过详细的实验,我们证明了所提出的解决方案在实践中具有可扩展性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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