Contested Logistics: A Game-Theoretic Approach

Jakub Cerny, Chun Kai Ling, Darshan Chakrabarti, Jingwen Zhang, Gabriele Farina, Christian Kroer, Garud Iyengar
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Abstract

We introduce Contested Logistics Games, a variant of logistics problems that account for the presence of an adversary that can disrupt the movement of goods in selected areas. We model this as a large two-player zero-sum one-shot game played on a graph representation of the physical world, with the optimal logistics plans described by the (possibly randomized) Nash equilibria of this game. Our logistics model is fairly sophisticated, and is able to handle multiple modes of transport and goods, accounting for possible storage of goods in warehouses, as well as Leontief utilities based on demand satisfied. We prove computational hardness results related to equilibrium finding and propose a practical double-oracle solver based on solving a series of best-response mixed-integer linear programs. We experiment on both synthetic and real-world maps, demonstrating that our proposed method scales to reasonably large games. We also demonstrate the importance of explicitly modeling the capabilities of the adversary via ablation studies and comparisons with a naive logistics plan based on heuristics.
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有争议的物流:博弈论方法
我们介绍了 "有争议的物流博弈",这是物流问题的一种变体,它考虑到了对手的存在,对手可能会扰乱选定区域的货物运输。我们将其建模为在物理世界的图表示上进行的大型双人零和一击博弈,最优物流计划由该博弈的纳什均衡(可能是随机的)来描述。我们的物流模型相当复杂,能够处理多种运输方式和货物,考虑到货物在仓库中的可能存储,以及基于需求满足的列昂惕夫效用。我们证明了与寻找平衡相关的计算硬度结果,并提出了一种基于求解一系列最佳响应混合整数线性程序的实用双奥义求解器。我们还通过消融研究以及与基于启发式的天真物流计划的比较,证明了明确模拟对手能力的重要性。
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