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一种基于混合组遗传算法的火力引导任务分配方法

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

firepower guidancemission allocationgenetic algorithmmodeloptimal

王天喜、祁涛、张程、苏凝钢

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北方自动控制技术研究所,太原 030006

中国华阴兵器试验中心,陕西 华阴 714200

火力引导 任务分配 遗传算法 模型 最优

2024

火力与指挥控制
火力与指挥控制研究会,火力与指挥控制专业情报网

火力与指挥控制

CSTPCD北大核心
影响因子:0.312
ISSN:1002-0640
年,卷(期):2024.49(1)
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