Multi-target Fire Concentration Allocation and Dynamic Adjustment Algorithm Based on Features of Weighted Window
Aiming at problems of current fire strike planning methods about local convergence and poor global optimization ability in the pre-war planning,and lack of consideration on improvisation and timeliness during the adjustment in a battle,a fire concentration allocation and dynamic adjustment al-gorithm based on features of weighted window is proposed.Firstly,an allocation model based on fea-tures of weighted window is established to quantify the strike benefit and resource cost.Thus,the fire allocation can be adaptive to different operation requirements.Then,aiming at the problem of sensitiv-ity to the algorithm parameters and absence of prior knowledge,an adaptive-parameter density-based clustering algorithm is presented to adaptively optimize parameter selection.Finally,considering the real-time requirement of adjustment in a battle,an improved Hungarian algorithm is proposed to re-duce the iterations of the cost matrix.Experiments show that the algorithm can effectively solve prob-lems during pre-war planning and adjustment in a battle.It has superior performance than other meth-ods on large-scale data set,and the effectiveness and flexibility of the algorithm are verified.
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