一种基于改进量子遗传算法的飞行状态规则提取方法  

A Method for Flight State Rule Acquisition Based on Improved Quantum Genetic Algorithm

作　　者：高原[1] 倪世宏[1] 王彦鸿[2] 张鹏[1] 

机构地区：[1]空军工程大学工程学院,西安710038 [2]西北工业大学自动化学院,西安710072

出　　处：《电光与控制》2011年第1期28-31,共4页Electronics Optics & Control

摘　　要：针对基本遗传算法(GA)和量子搜索算法(QA)的不足,提出改进量子遗传算法(BQGA),通过测试函数测试,其收敛精度明显优于传统算法。以飞行状态特征参数为研究对象,利用改进的量子遗传算法进行组合寻优,获得飞行状态识别的产生式规则。仿真实验表明,该方法得到的规则简洁、正确、有效。Considering the shortcomings of the traditional genetic algorithm and quantum searching,an improved quantum genetic algorithm BQGA was put forward.The experiment using Rastrigin test function showed that the convergent precision of BQGA was better than that of the traditional algorithm.Taking characteristic parameters of flight state as an example,the BQGA was used to acquire rules from flight data.The experimental result showed that the rules acquired were simple,accurate and effective.

关 键 词：飞行状态识别 量子遗传算法 规则提取 

分 类 号：V271.4[航空宇航科学与技术—飞行器设计] TP183[自动化与计算机技术—控制理论与控制工程]