一种基于混合组遗传算法的火力引导任务分配方法

An Allocation Method for Firepower Guidance Mission Based on Hybrid Group Genetic Algorithm

围绕火力引导任务分配的需求,以目标和照射器的方位为牵引,建立了基于混合组遗传算法的火力引导任务分配模型。充分考虑最少单元、地图通视、目照距离、照炮夹角等约束,利用遗传算法出色的全局优选能力,寻找最优火力引导任务分配方法。将实验仿真结果与实际最优分配结果对比,验证了该模型的可信性。

Around the need of firepower guidance mission allocation,taking the orientation of the tar-get and illuminator as traction,firepower guidance mission allocation model is built based on the of Hy-brid Group Genetic Algorithm,the minimum units,map intervisibility,distance between target and illumi-nator,angle between illuminator and gun and other constraints are fully considered.The excellent global optimization ability of genetic algorithm is utilized.The optimal firepower guidance mission allocation method is found.By comparing the experimental simulation results with the actual optimal allocation re-sults,the credibility of the model is verified.