基于改进遗传算法的飞机对海打击航路规划研究OA
Research on air-to-sea strike route planning based on improved genetic algorithm
针对飞机在对海打击任务中的航路规划需求,通过分析飞机对海打击行动基本任务流程及主要影响因素,采用几何解析法建立了融合安全威胁、打击角度、航程距离代价的多目标航路规划模型.在此基础上,提出了一种基于适应度值标定和相似度检验方法的改进遗传算法,结合构建的数学模型,研究形成了对海打击最优航路规划算法.仿真实验结果表明,设计的模型算法可基于不同的态势及任务信息,快速高效规划对海打击最优二维航路,有效解决了传统算法全局搜索能力弱、早熟收敛及后期振荡等问题,其具有计算量小、精度高、实用性强等特点.
To meet the route planning requirements of anti-ship strike missions of the aircraft,a multi-objective route plan-ning model that incorporates safety threat,attack angle and range cost is constructed by analyzing the basic task process of air-to-sea strike actions and the main influencing factors,using geometric analysis methods.On this basis,an improved ge-netic algorithm based on fitness value calibration and similarity verification is proposed,which leads to the optimal route planning algorithm for air-to-sea strike operations,combined with the constructed mathematical model.Simulation results show that the designed model and algorithm can plan optimal two-dimensional routes for anti-ship strikes based on different mission information efficiently,which has solved the problems of global search,premature convergence,and late-stage oscil-lation found in traditional algorithms,while featuring low computational load,high accuracy,and strong practicality.
赵旭浩;尹大伟;周玺;李超
中国人民解放军 92728 部队,上海 200040中国人民解放军 92728 部队,上海 200040中国人民解放军 92728 部队,上海 200040中国人民解放军 92728 部队,上海 200040
军事科技
对海打击航路规划改进遗传算法
air-to-sea strikeroute planningimproved genetic algorithm
《指挥控制与仿真》 2026 (2)
7-14,8
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