基于多目标进化算法的防空导弹武器目标分配  

Air Defense Missile Weapon Target Assignment Based on Multi-objective Evolutionary Algorithm

作　　者：孙昕 邢立宁 王锐[1] 王凌[3] 石建迈[1] 罗天羽 Sun Xin;Xing Lining;Wang Rui;Wang Ling;Shi Jianmai;Luo Tianyu(College of Systems Engineering,National University of Defense Science and Technology,Changsha 410073,China;College of Electronic Engineering,Xi'an University of Electronic Science and Technology,Xi'an 710071,China;Department of Automation,Tsinghua University,Beijing 100084,China)

机构地区：[1]国防科技大学系统工程学院,湖南长沙410073 [2]西安电子科技大学电子工程学院,陕西西安710126 [3]清华大学自动化系,北京100084

出　　处：《系统仿真学报》2024年第6期1298-1308,共11页Journal of System Simulation

基　　金：国家自然科学基金(62036006,72271241);陕西省重点科技创新团队(2023-CX-TD-07);陕西省重点研发计划(2024GH-ZDXM-48)。

摘　　要：有效的武器目标分配(weapon-target assignment,WTA)方法对减少作战损失,提高防御效果具有重要意义。针对防空资源分配问题建立合理的数学模型,以最大化目标毁伤效能和最小化雷达资源消耗为优化目标,同时考虑雷达通道数上限等多个约束,在基于分解的多目标进化算法(multi-objective evolutionary algorithm based on decomposition,MOEA/D)基础上进行改进,种群进化过程中自适应调整交叉与变异的概率以提高个体的质量,最终得到一组可供决策者使用的最优解集。实验结果表明:与其他多目标进化算法相比,该算法能得到适应度更高且分布性良好的结果,能够为防空导弹武器目标分配问题提供可行方案。An effective weapon target assignment method can reduce the combat losses and improve the defense effect.A reasonable mathematical model is established for the allocation of air defense resources,aiming at the optimization objectives of maximizing target destruction effectiveness and minimizing radar resource consumption,considering multiple constraints such as the upper limit of radar channels,on the basis of multiobjective evolutionary algorithm based on decomposition(MOEA/D),the probability of crossover and mutation is adaptively adjusted to improve the quality of individuals in the process of population evolution,and a set of optimal solution sets for decision makers is obtained.The results show that,compared with other multi-objective evolutionary algorithms,the algorithm can obtain the higher fitness values and good distributivity,and can provide a feasible solution to the weapon target assignment for air defense missile.

关 键 词：武器目标分配 多目标进化算法 自适应参数 防空导弹 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]