典型文献
Air Combat Assignment Problem Based on Bayesian Optimization Algorithm
文献摘要：
In order to adapt to the changing battlefield situation and improve the combat effectiveness of air combat,the problem of air battle allocation based on Bayesian optimization algorithm(BOA)is studied.First,we discuss the number of fighters on both sides,and apply cluster analysis to divide our fighter into the same number of groups as the enemy.On this basis,we sort each of our fighters'different advantages to the enemy fighters,and obtain a series of target allocation schemes for enemy attacks by first in first serviced criteria.Finally,the maximum advantage function is used as the target,and the BOA is used to optimize the model.The simulation results show that the established model has certain decision-making ability,and the BOA can converge to the global optimal solution at a faster speed,which can effectively solve the air combat task assignment problem.
文献关键词：
中图分类号：
作者姓名：
FU Li;LONG Xi;HE Wenbin
作者机构：
School of Automation,Shenyang Aerospace University,Shenyang 110136,China;School of Aero-Engine,Shenyang Aerospace University,Shenyang 110136,China
文献出处：
引用格式：
[1]FU Li;LONG Xi;HE Wenbin-.Air Combat Assignment Problem Based on Bayesian Optimization Algorithm)[J].上海交通大学学报（英文版）,2022(06):799-805
A类：
fighters
B类：
Air,Combat,Assignment,Problem,Based,Bayesian,Optimization,Algorithm,In,order,adapt,changing,battlefield,situation,improve,combat,effectiveness,air,problem,allocation,optimization,algorithm,BOA,studied,First,we,discuss,number,both,sides,apply,cluster,analysis,divide,our,into,same,groups,enemy,On,this,basis,sort,each,different,advantages,obtain,series,target,schemes,attacks,by,first,serviced,criteria,Finally,maximum,function,used,optimize,model,simulation,results,show,that,established,has,certain,decision,making,ability,can,converge,global,optimal,solution,faster,speed,which,effectively,solve,task,assignment
AB值：
0.603699
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机标中图分类号，由域田数据科技根据网络公开资料自动分析生成，仅供学习研究参考。
