摘要
区域防空作战逐步成为部队防空作战方面的核心方向,战前资源部署及战时火力分配问题既是难题又是核心环节。基于此,文章以战前资源部署为研究对象,针对传感器网络部署问题,借助改进的粒子群算法构建起传感器网络优化数模;针对火力单元部署问题,使用匈牙利算法,构建火力单元部署数模。仿真结果表明,改进之后的算法有效,求解精度较好,收敛速度较快。
Regional air defense operations have gradually become the core direction of the Chinese army in air defenseoperations.The problem of resource deployment and firepower distribution before war is not only a difficult problem butalso a core link.Based on this,the pre war resource deployment is taken as the research object.Aiming at the problem ofsensor network deployment,the improved particle swarm optimization algorithm is used to build the optimized digitalmodel of sensor network and aiming at the problem of firepower unit deployment,the Hungarian algorithm to build thefirepower unit deployment digital model is used.The simulation results show that the improved algorithm is effective,withgood accuracy and fast convergence speed.
作者
张诗雅
黄炎焱
Zhang Shiya;Huang Yanyan(School of Automation,Nanjing University of Technology,Nanjing 210094,China;Beijing Institute of Special Electromechanical Technology,Beijing 100012,China)
出处
《江苏科技信息》
2020年第1期57-60,74,共5页
Jiangsu Science and Technology Information
关键词
作战资源部署
粒子群算法
匈牙利算法
operational resource deployment
particle swarm optimization
Hungarian algorithm
