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A Game Theoretic Model for the Optimal Location of Integrated Air Defense System Missile Batteries

机译:综合防空系统导弹电池最优定位的博弈模型

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We examine the optimal location of Integrated Air Defense System (IADS) missile batteries to protect a country's assets, formulated as a Defender-Attacker-Defender three-stage sequential, perfect information, zero-sum game between two opponents. We formulate a trilevel nonlinear integer program for this Defender-Attacker-Defender model and seek a subgame perfect Nash equilibrium (i.e., a set of attacker and defender strategies from which neither player has an incentive to deviate). Such a trilevel formulation is not solvable via conventional optimization software, and an exhaustive enumeration of the game tree based on the discrete set of strategies is only tractable for small instances. We develop and test a customized heuristic over a set of small instances having deliberate parametric variations in a designed experiment, comparing its performance to an exhaustive enumeration algorithm. Testing results indicate the enumeration approach to be severely limited for realistically sized instances, so we demonstrate the heuristic on a larger instance from the literature for which it maintains computational efficiency.
机译:我们研究了综合防空系统(IADS)导弹电池的最佳位置,以保护一个国家的资产,这是两个对手之间的防御者-攻击者-防御者三阶段顺序,完美信息,零和游戏的公式。我们为该Defender-Attacker-Defender模型制定了一个三级非线性整数程序,并寻求一个子博弈的完美纳什均衡(即一组攻击者和防御者策略,任何一个玩家都没有动机偏离这一策略)。通过常规优化软件无法解决这种三层公式,基于离散策略集的游戏树穷举枚举仅适用于小型实例。我们在设计的实验中针对一组具有故意参数变化的小实例,开发并测试了定制的启发式算法,并将其性能与详尽的枚举算法进行了比较。测试结果表明,枚举方法在实际大小的实例中受到严格限制,因此我们从文献中证明了启发式算法在较大实例上的适用性,该实例保持了计算效率。

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