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Mixed-Integer Linear Programming Model by Linear Approximation for a Strike Package-to-Target Assignment Problem

机译:基于线性逼近的混合整数线性规划模型,用于打击包到目标分配问题

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摘要

This study deals with an aircraft-to-target assignment (ATA) problem considering the modern air operation environment, such as the strike package concept, multiple targets for a sortie, and the strike packages' survivability. For the ATA problem, this study introduces a novel mathematical model in which a heterogeneous vehicle routing problem (HVRP) and a weapon-to-target assignment (WTA) problem are conceptually integrated. The HVRP generates the flight routes for strike packages because this study confirms that the survivability of a strike package depends on the path, and the WTA problem evaluates the likelihood of successful target destruction of assigned weapons. Although the first version of the model is developed as a mixed-integer nonlinear programming (MINLP) model, this study attempts to convert it to a mixed-integer linear programming (MILP) model using the logarithmic transformation and piecewise linear approximation methods. For an ATA problem, this activity could provide an opportunity to use the excellent existing algorithms for searching the optimal solution of LP models. To maximize the operational effectiveness, the MILP model simultaneously determines the following for each strike package: (a) composition type, (b) targets, (c) flight route, (d) types, and (e) quantity of weapons for each target.
机译:本研究着眼于现代空中作战环境,如打击包概念、出击的多个目标以及打击包的生存能力等,处理了飞机对目标分配(ATA)问题。针对ATA问题,本研究引入了一种新的数学模型,在概念上集成了异构车辆路径问题(HVRP)和武器到目标分配(WTA)问题。HVRP生成打击包的飞行路线,因为这项研究证实了打击包的生存能力取决于路径,而WTA问题评估了成功目标摧毁指定武器的可能性。虽然该模型的第一个版本是作为混合整数非线性规划(MINLP)模型开发的,但本文尝试使用对数变换和分段线性逼近方法将其转换为混合整数线性规划(MILP)模型。对于 ATA 问题,此活动可以提供一个机会,使用优秀的现有算法来搜索 LP 模型的最优解。为了最大限度地提高作战效率,MILP模型同时为每个打击包确定以下内容:(a)组成类型,(b)目标,(c)飞行路线,(d)类型和(e)每个目标的武器数量。

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