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作 者:赵文飞 刘孝磊 马翠玲 滕克难 ZHAO Wenfei;LIU Xiaolei;MA Cuiling;TENG Kenan(Aviation Foundation College,Naval Aviation University,Yantai 264001,China)
机构地区:[1]海军航空大学航空基础学院,山东烟台264001
出 处:《系统工程与电子技术》2023年第3期777-784,共8页Systems Engineering and Electronics
基 金:全军军事类研究生项目(JY2020A016);海军航空大学科研自主立项(I32003001)资助课题。
摘 要:海上要地防空武器火力分配(weapon target assignment,WTA)是防空反导作战的关键环节,属于典型的组合优化问题。针对海上要地防空反导战场态势的不确定性、复杂性和动态性问题,提出了一种基于非支配排序的多目标量子遗传算法的模糊动态WTA(dynamic WTA,DWTA)方法。首先,在确定条件下,建立了以防御效率和作战资源损耗为目标的多目标DWTA模型;然后,根据战场态势的不确定性构建了多目标模糊DWTA模型,利用期望值法将模糊问题等价刻画为确定性问题,并基于非线性问题特征提出了线性化方法;最后,利用所提算法对该问题进行求解。仿真结果表明,所提算法具有较好的收敛效果。Weapon target assignment(WTA)for strategic location on the sea is a key link in air defense and antimissile operations,and it is a typical combined optimization problem.Aiming at the uncertainty,complexity and dynamics of the air defense and antimissile battlefield situation in strategic location on the sea,a fuzzy dynamic WTA(DWTA)method based on non-dominated sorting multi-objective quantum genetic algorithm(NS-MOQGA)is proposed.Firstly,under certain conditions,a multi-target DWTA model with the goal of defense efficiency and combat resource consumption is established.Then,according to the uncertainty of the battlefield situation,a multi-target fuzzy DWTA model is constructed,and the fuzzy problem is equivalently described as a deterministic problem using the expected value method,and a linearization method is proposed based on the characteristics of the nonlinear problem.Finally,the improved NS-MOQGA algorithm is used to solve the problem,and the simulation results show that the proposed algorithm has a good convergence effect.
关 键 词:海上要地 防空反导 武器火力分配 多目标模糊规划
分 类 号:TP303[自动化与计算机技术—计算机系统结构] E074[自动化与计算机技术—计算机科学与技术]
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