空面多目标攻击中武器-目标最优分配  

Optimal Apportion of Weapon-Target Assignment in Multi-Target Air-to-Surface Attack

作　　者：孟靖昊 Meng Jinghao(AVIC The First Aircraft Institute,Xi’an 710089,China)

机构地区：[1]航空工业第一飞机设计研究院,陕西西安710089

出　　处：《航空科学技术》2024年第8期104-110,共7页Aeronautical Science & Technology

基　　金：航空科学基金(2016ZC03004)。

摘　　要：在多目标空对地攻击中,合理高效的武器-目标分配能显著提升飞机的攻击效率,降低飞机在战场滞留的时间,对于提升飞机的作战效率与生存性能有着重要的意义。本文基于攻击模式、目标毁伤概率、武器成本、飞行航路等约束,构建武器-目标最优分配模型,设计了一种强化局部搜索能力的自适应遗传算法,解决了求解复杂规划问题时的过量冗余迭代与停滞问题。对多组随机目标进行了仿真验证,仿真结果证明,改进算法能够为作战任务提供优质的武器-目标分配方案,且明显提升了求解的运行效率与质量。Reasonable and efficient weapon-target assignment is an important part to improve combat effectiveness and aircraft safety in multi-target air-to-surface attack.Based on the constraints of attack mode,damage probability,weapon cost and flight route,the weapon-target assignment model is established.An adaptive genetic algorithm is designed to enhance local search ability,and solves the problem of excessive redundant iterations and stagnation in operation.The simulation results show that the improved algorithm can provie high quality scheme,and obviously improve the operational efficiency and solution quality.

关 键 词：空面作战 多目标攻击 任务规划 武器-目标分配 自适应遗传算法 

分 类 号：O22[理学—运筹学与控制论]