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作 者:赖文星 贾军 鲍然 丁士洲 LAI Wenxing;JIA Jun;BAO Ran;DING Shizhou(Shanghai Electro-Mechanical Engineering Institute,Shanghai 201109,China)
机构地区:[1]上海机电工程研究所
出 处:《空天防御》2019年第4期1-6,共6页Air & Space Defense
摘 要:传统的防空武器拦截方案设计方法主要采用针对特定问题的单目标优化模型,难以适应当前全空域、多层次、饱和式的空袭模式。针对由多种空袭目标组成的进攻体系和不同防空武器混编而成的防御体系,首先分析空袭目标突防过程,然后建立以总体突防威胁值最小化和总体防御成本最小化为目标的防空拦截方案多目标优化模型,最后采用NSGA-II多目标进化算法进行求解。仿真算例结果表明,基于多目标优化的防空拦截方案设计方法能有效提高防御体系作战效能和降低总体防御成本。The traditional design methods of air defense weapon interception scheme mainly adopt single-objective optimization model,which is difficult to apply to current whole-airspace,multi-level,saturated air strike mode.Aiming at the attack system comprising multiple air strike targets and defense system consisting of different air defense weapons,this paper first analyzes the penetration process of air strike targets,and then establishes a multi-objective optimization model with the goal of minimizing the overall threat value and defense cost,and finally adopts NSGA-II multi-objective evolutionary algorithm for solution.Simulation results show that the design method of air defense weapon interception scheme based on multi-objective optimization can effectively improve the combat effectiveness and reduce the overall defense cost.
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