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基于混合遗传算法的景象匹配技术研究
引用本文:韩先锋,李俊山,毕义明,孙满囤.基于混合遗传算法的景象匹配技术研究[J].微电子学与计算机,2004,21(8):102-105,110.
作者姓名:韩先锋  李俊山  毕义明  孙满囤
作者单位:第二炮兵工程学院计算机与指挥自动化系,陕西,西安,710025
基金项目:部委“十五”预研项目(413220209)
摘    要:景象匹配制导在精确制导武器的末制导中具有非常重要的地位。针对常规遗传算法易陷入局部最优和收敛速度慢的缺陷,采用混合遗传算法和去均值归一化积相关函数研究了景象匹配问题,完成了一种基于精确制导武器系统的景象匹配算法设计。实验结果表明,该算法能够保证求得全局最优解,并且寻优速度有很大提高。

关 键 词:景象匹配  遗传算法  混沌遗传算法(CGA)  全局优化
文章编号:1000-7180(2004)08-102-04

Research of Scene Matching Based on Hybrid Genetic Algorithms
HAN Xian-feng,LI Jun-shan,BI Yi-ming,SUN Man-dun.Research of Scene Matching Based on Hybrid Genetic Algorithms[J].Microelectronics & Computer,2004,21(8):102-105,110.
Authors:HAN Xian-feng  LI Jun-shan  BI Yi-ming  SUN Man-dun
Abstract:The scene matching guidance plays a significant role in the terminal g uidance of precision-guided weapon. The traditional genetic algorithms tends to get into local optimization and slow convergence rate in image matching. The pro blem of scene matching was studied by means of hybrid genetic algorithms and nor malized product correlation function. A scene matching algorithm was designed in the terminal guidance of precision-guided weapon. The experiment shows the algo rithm can surely and rapidly get global optimum solution and greatly improve con vergence rate.
Keywords:Scene matching  Genetic algorithm  Chaos-genetic algorithm  Globa l optimization
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