基于嵌套算法的反无人机集群防空部署  

Anti-UAV Cluster Air Defense Deployment Based on Nested Algorithm

作　　者：高春生 宋业新[1] GAO Chunsheng;SONG Yexin(Department of Basic,Naval University of Engineering,Wuhan 430000)

机构地区：[1]海军工程大学基础部,武汉430000

出　　处：《舰船电子工程》2023年第8期31-36,共6页Ship Electronic Engineering

基　　金：国家自然科学基金项目(编号:71171198,41631072,41771487)资助。

摘　　要：针对多类型防空武器反无人机集群问题,考虑不同类型防空武器位置部署与火力分配之间的关系,建立多类型防空武器反无人机集群的多目标混合部署规划模型,并设计一种嵌套双粒子群的免疫优化算法对模型进行求解。给出的仿真例子说明了模型和算法的有效性。Aiming at the anti-UAV cluster problem of multi-type air defense weapons,considering the relationship between different types of air defense weapons location deployment and firepower allocation,a multi-target hybrid deployment planning mod⁃el of multi-type air defense weapons anti-UAV cluster is established,and a nested two-particle swarm immune optimization algo⁃rithm is designed to solve the model.Simulation examples are given to illustrate the effectiveness of the model and algorithm.

关 键 词：防空武器 无人机集群 火力分配 位置部署 嵌套算法 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]