基于遗传算法的测量船工况优选方法  

A New Method of Optimizing the Tracking-Ship Operation Condition Design Based on Genetic Algorithm

作　　者：倪晓秋[1] 黄凯[1,2] 茅永兴[1] 周文晋[1] 

机构地区：[1]中国卫星海上测控部,江苏江阴214431 [2]西安交通大学,西安710049

出　　处：《电讯技术》2009年第7期13-17,共5页Telecommunication Engineering

基　　金：国防预研项目

摘　　要：根据传统工况设计方法中存在的约束条件多、计算量大、主观因素影响大等特点,采用过滤函数、适应度评估、位串编码、轮盘选择等方法,提出了一种基于遗传算法的测量船工况优选方法,并分析了收敛速度、终止条件、基因突变等影响因素。实验表明,此方法有效提高了测量船工况设计客观性和设计效率,优选了设计结果。According to the characteristics such as plentiful restriction conditions, great computing quantities and subjective effects in traditional operation condition design, a new method based on genetic algo- rithm（GA） is proposed to optimize the tracking- ship operation condition design. The method adopts the strategies including filter function, fitness evaluation, bits coding and roulette wheel selection, etc. Fur- ther more, the impact factor including convergence velocity, terminate condition, and genetic mutation is analyzed. The experiment shows that this method can effectively improve the objectivity and design effi- ciency of the operation condition design, and also optimize the design result.

关 键 词：测控技术 智能工况设计 遗传算法 基因交换 基因变异 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]