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COOPERATIVE ATTACK STRATEGY OF UNMANNED AERIAL VEHICLES IN ADVERSARIAL ENVIRONMENT

机译:对抗性环境中无人飞行器的合作攻击策略

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摘要

This paper addresses the problem of risk in adversarial environments and presents a new attack model in which the cooperative action is considered. The actions of each UAV not only get benefit from attacking targets but also reduce the risk in the environment for other UAVs. The implications of the survival probabilities and the time discount factor in this model are analyzed and the results will help to build the optimal attack strategy. An improved genetic algorithm is applied to quickly build the optimal strategy. Simulation results show that this algorithm provides better solutions than genetic algorithm.
机译:本文针对对抗性环境中的风险问题,提出了一种考虑协同作用的新型攻击模型。每个无人机的行动不仅可以从攻击目标中受益,而且还可以降低其他无人机在环境中的风险。分析了该模型中生存概率和时间折现因子的含义,其结果将有助于建立最佳的攻击策略。应用改进的遗传算法快速建立最优策略。仿真结果表明,该算法比遗传算法提供了更好的解决方案。

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