一种基于改进r-NSGA-Ⅱ算法的联合防空问题算法  

An algorithm for joint air defense problem based on improved r-NSGA-Ⅱ algorithm

作　　者：蒋佳锐 徐国亮[1] 王团团 JIANG Jia-rui;XU Guo-liang;WANG Tuan-tuan(Jiangsu Automation Research Institute,Lianyungang 222061,China)

机构地区：[1]江苏自动化研究所,江苏连云港222061

出　　处：《指挥控制与仿真》2023年第1期75-83,共9页Command Control & Simulation

摘　　要：以传统动能武器及现代高能激光武器的防空反导作战为背景,建立了异构防御武器多战术目标的动态武器目标分配模型;在考虑指挥员抉择偏好的情况下,提出基于改进r-NSGA-Ⅱ算法的武器目标分配优化框架,给出具体优化流程;基于具体作战想定,设计实验将改进r-NSGA-Ⅱ算法与NSGA-Ⅱ、NSGA-Ⅲ、MOEA/D等经典算法在收敛性、分布性与时间复杂度等性能指标方面进行对比分析。实验证明,改进r-NSGA-Ⅱ算法在保证计算效率的情况下可以更好地反映指挥员的作战偏好与意图。Based on the air defense and antimissile operations of traditional kinetic energy weapons and modern high-energy laser weapons, a dynamic weapon target assignment model of heterogeneous defense weapons with multiple tactical targets is established;Considering the commander’s choice preference, the optimization framework of weapon target allocation based on improved r-NSGA-Ⅱ algorithm is proposed, and the specific optimization process is given;Based on the specific operational scenario, the design experiment is designed to compare the improved r-NSGA-Ⅱ algorithm with NSGA-Ⅱ, NSGA-Ⅲ, MOEA/D and other classical algorithms in terms of convergence, distribution, time complexity and other performance indicators. The experimental results show that the improved r-NSGA-Ⅱ algorithm can better reflect the commander’s operational preferences and intentions while ensuring the computational efficiency.

关 键 词：武器目标分配 联合防空 偏好设置 多目标优化 

分 类 号：E919[军事]