分组遗传算法在制导工具系统误差估计中的应用  

Guidance Instrumentation System Error Estimation Based on Group Genetic Algorithm

作　　者：王玮[1] WANG Wei(No.91550 Troops of PLA,Dalian 116023)

机构地区：[1]91550部队

出　　处：《舰船电子工程》2019年第8期68-70,75,共4页Ship Electronic Engineering

基　　金：国家自然科学基金项目（编号：6170021755）资助

摘　　要：针对飞行器制导工具系统误差估计过程中环境函数矩阵病态,导致传统分离方法精度较低的问题,提出了一种分组遗传算法并将其应用于制导工具系统误差分离。分组遗传算法是将遗传算法中的输入学习样本进行分组,分别执行遗传算子,并依据各组群适应度函数来进行融合输出。分组遗传算法可以有效提高遗传算法的计算效率,同时分组进化融合输出可以进一步提高制导工具系统误差的分离精度。某次试验数据处理结果证明了算法有效性。A group genetic algorithm is proposed to solve the problem of guidance instrumentation system error estimation of aircraft test.The environment function matrix of telemetry is often ill,which results in the estimation precision of the traditional method degrade.The proposed group genetic algorithm divides the study sample into a series groups and carry on the genetic operation respectively.The output result can be obtained by the fusion of all the groups'genetic operation results.The proposed method can improve the efficiency of the genetic algorithm and the guidance instrumentation system error estimation precision.The effectiveness is proved by the process result of a test data.

关 键 词：飞行器 制导工具系统误差 遗传算法 适应度函数 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]