指挥控制与仿真2012，Vol.34Issue(4)：25-29,5.DOI:10.3969/j.issn.1673-3819.2012.04.005
基于变异离散粒子群的协同空战攻击决策算法
Cooperative Air Combat Attack Decision Making Based on Mutation Discrete Particle Swarm Optimization
摘要
Abstract
In order to increase the performance of cooperative air combat attack decision making (CACADM) algorithm, two mutation strategies are introduced to the DPSO algorithm and a new mutation discrete particle swarm optimization (MDPSO) algorithm is present. The efficiency of the new algorithm is proved, under typical air combat background. Based on the indexes, such as accuracy, reliability and efficiency, the performances of MDPSO algorithm are compared with the other intelligence algorithms. The results of comparison show that MDPSO algorithm has better comprehensive performances over the other intelligence algorithms.关键词
协同空战/攻击决策/变异策略/离散粒子群优化Key words
cooperative air combat/ attack decision making/ mutation strategy/ discrete particle swarm optimization分类
军事科技引用本文复制引用
周思羽,孔繁峨,吴文海,张楠,刘锦涛..基于变异离散粒子群的协同空战攻击决策算法[J].指挥控制与仿真,2012,34(4):25-29,5.基金项目
航空科学基金资助(20115185004) （20115185004）
