基于改进的MDLS算法的城市作战资源调度技术  

Urban Combat Resource Scheduling Technology Based on Improved MDLS Algorithm

作　　者：吕家发 黄炎焱[1] 谢文 LYU Jiafa;Huang Yanyan;Xie Wen(School of Automation,Nanjing University of Science and Technology,Nanjing 210094,China;Nanjing Campus,Army Academy of Artillery and Air Defense Force,Nanjing 211132,China)

机构地区：[1]南京理工大学自动化学院,南京210094 [2]陆军炮兵防空兵学院南京校区,南京211132

出　　处：《兵工自动化》2024年第12期62-69,共8页Ordnance Industry Automation

基　　金：信息系统需求重点实验室开放基金项目(LHZZ2021-M05);地面靶标与毁伤评估系统重点基金项目(LJYX2019-05-001)。

摘　　要：为避免在城市作战中一个任务投入过多超过需求的剩余资源,影响其他任务的资源分配而造成作战时间延长,将多维动态列表调度算法(multidimensional dynamic list scheduling,MDLS)应用于城市作战资源调度。通过在算法的平台选择阶段做出改进,加入节约模块和支援模块,建立多目标规划模型。仿真实验对比结果表明,该技术研究可为城市作战资源调度提供理论参考。In order to avoid investing too much surplus resources in one task in urban combat,which will affect the resource allocation of other tasks and prolong the combat time,the multidimensional dynamic list scheduling algorithm(multidimensional dynamic list scheduling,MDLS)is proposed,is applied to urban combat resource scheduling.By improving the algorithm in the stage of platform selection,saving module and support module are added,and a multi-objective programming model is established.The simulation results show that the research of this technology can provide a theoretical reference for urban combat resource scheduling.

关 键 词：MDLS 多目标优化 城市作战 资源分配调度 

分 类 号：E911[军事]