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防空武器多目标优化分配建模与决策
引用本文:王小艺,刘载文,侯朝桢,原菊梅.防空武器多目标优化分配建模与决策[J].兵工学报,2007,28(2):228-231.
作者姓名:王小艺  刘载文  侯朝桢  原菊梅
作者单位:北京工商大学,信息工程学院,北京,100037;北京理工大学,自动控制系,北京,100081
基金项目:国防科技应用基础研究基金
摘    要:在对决策机理分析的基础上,建立了防空武器系统的多目标分配决策模型,实现了防空导弹的多目标优化分配。在此基础上,提出一种改进的粒子群优化(PSO)算法以求解防空武器的最优分配,通过与遗传算法的实例比较,结果证明了该方法的有效性和优越性。

关 键 词:运筹学  粒子群  多目标分配决策  目标优化分配  遗传算法
文章编号:1000-1093(2007)02-0228-04
修稿时间:05 11 2006 12:00AM

Modeling and Decision-Making of Multi-target Optimization Assignment for Aerial Defense Weapon
WANG Xiao-yi,LIU Zai-wen,HOU Chao-zhen,YUAN Ju-mei.Modeling and Decision-Making of Multi-target Optimization Assignment for Aerial Defense Weapon[J].Acta Armamentarii,2007,28(2):228-231.
Authors:WANG Xiao-yi  LIU Zai-wen  HOU Chao-zhen  YUAN Ju-mei
Affiliation:1. College of Information Engineering, Beijing Technology and Business Tjniversity, Beijing 100037, China; 2. Department of Automatic Control, Beijing Institute of Technology, Beijing 100081, China
Abstract:On the basis of analyzing the mechanism of decision-making,a multi-target assignment decision-making model used to research aerial defense weapon system was set up to realize the multi-target optimization assignment of missiles.An improved particle swarm optimization(PSO) based on the model was put forward to compute optimization assignment for aerial defense weapon.Comparing with genetic algorithm(GA),the results of two examples prove the method to be effective and superior.
Keywords:operation research  particle swarm optimization  multi-target assignment decision  target optimizing assignment  GA
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