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作 者:沈培志 王志鹏 姬正一 殷实 Shen Peizhi;Wang Zhipeng;Ji Zhengyi;Yin Shi(Naval Aviation University,Yantai 264001,China;No.92941 Unit of PLA,Huludao 125000,China)
机构地区:[1]海军航空大学,山东烟台264001 [2]中国人民解放军92941部队,辽宁葫芦岛125000
出 处:《兵工自动化》2023年第6期58-63,88,共7页Ordnance Industry Automation
摘 要:针对机动岸导突击群对海突击需要选择合适的阵地进行优化部署的问题,建立岸导突击群阵地部署优化模型。采取以最大化毁伤概率为目标函数,以岸舰导弹火力覆盖区域等为约束条件,运用遗传算法解算得出阵地部署的优化方案。通过仿真验证,结果表明:该方法可节省岸舰导弹航程,增强打击的突然性,提高命中概率,并给出岸舰导弹的射向,为指挥员决策提供参考。In order to solve the problem of choosing the right position to deploy the mobile shore-guided missile assault group to the sea,a position deployment optimization model of the shore-guided missile assault group is established.Taking maximizing the damage probability as the objective function and the fire coverage area of shore-to-ship missile as the constraint condition,the optimization scheme of position deployment is obtained by using genetic algorithm.The simulation results show that the method can save the range of the shore-to-ship missile,enhance the suddenness of the attack,and improve the hit probability.The firing direction of the shore-to-ship missile is given,which provides a reference for the commander’s decision-making.
分 类 号:TJ762.14[兵器科学与技术—武器系统与运用工程]
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