联合作战中航空兵作战规划研究  

Air Arm Operational Planning During Joint Operations

作　　者：常一哲 李战武[2] 江洋溢 罗振宇 鞠明 赵刚练 CHANG Yizhe;LI Zhanwu;JIANG Yangyi;LUO Zhenyu;JU Ming;ZHAO Ganglian(Unit 93184 of PLA,Beijing 100076,China;College of Aeronautics Engineering,Air Force Engineering University,Xi’an 710038,China;Unit 93131 of PLA,Beijing 100089,China)

机构地区：[1]解放军93184部队,北京100076 [2]空军工程大学航空工程学院,西安710038 [3]解放军93131部队,北京100089

出　　处：《火力与指挥控制》2023年第1期135-141,共7页Fire Control & Command Control

摘　　要：提出一种联合作战中航空兵作战规划方法。分析联合作战中航空兵肩负的主要作战任务及各任务间的逻辑时序,以此构建了作战任务网络;在作战任务网络的基础上,建立关于目标函数、约束条件以及到达时间的作战规划模型;在编码方式、搜索策略等方面对粒子群算法(particle swarmoptimization,PSO)作出了改进,用以求解规划模型;最后使用具体算例进行了仿真分析,结果证明,所提方法能够对联合作战中的航空兵使用进行合理规划。A method for air arm operation planning during joint operations is proposed.At first,main combat missions undertaken by air arm during joint operations and its logical sequences are analyzed,which constructs an operational missions network.Afterwards,operational planning model consisting of objective functions,constraints conditions and travel time is established based on operational missions network.Thereafter,particle swarm optimization(PSO)is improved with coding and search strategies and applied to solve the planning model.Finally,the concrete simulation is introduced into verification for the presented method,and the results prove the proposed method suitable for planning air arm operation during joint operations reasonably.

关 键 词：航空兵 作战规划 粒子群算法 联合作战 

分 类 号：E824[军事—战役学]