导弹机动路径的差分聚类最优规划

Differential Clustering Optimal Programming for Maneuvering Path of Missile

分析了含路径威胁的导弹机动路径最优规划问题解决思路,利用差分聚类算法和Floyd最短路径综合算法构建了含路径威胁的导弹机动路径最优规划的数学模型,通过线性加权方法将多目标优化问题转化为单目标问题,并对含路径威胁的运输过程进行模拟演示,算法结果显示:导弹在含路径威胁道路上机动时,运输分布呈现"伞式结构",不利于运输分散和机动调和,这个结果会降低战时导弹运输的时效性;而机动路径演化结果呈现依次为"伞式"结构→集中分布→重新分配→"网络式"结构,优化了导弹机动运输结构,增强了战时导弹运输的安全效率和机动稳定性能。

The solution of optimal planning of missile maneuver path with path threat is analyzed.By using DE clustering algorithm and Floyd shortest path synthesis algorithm,a mathematical model for optimal planning of missile maneuver path with path threat is constructed.The multi-objective optimization problem is transformed into a single objective problem by the linear weighting method.The multi-objective optimization problem is transformed into a single objective problem with the linear weighting method.And the process of transportation with path threat is simulated and evolved.The results show that in the missile maneuver algorithm with path threat on the road,the transportation distribution show the'umbrella structure'is not conducive to the transportation and dispersion of motor harmonic.This result will reduce the effectiveness of wartime missile transport;and the results presented are maneuvering the evolution path of the'umbrella'structure→centralized distribution→redistribution→'network'structure,which optimizes the mobile missile transport structure and enhances the safety and efficiency of maneuvering stability of wartime missile transport.