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.
出处
《电讯技术》
北大核心
2009年第7期13-17,共5页
Telecommunication Engineering
基金
国防预研项目
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
TT＆C technology
intelligent operation condition design
genetic algorithm
exchange genetic
genetic mutation
