摘要
通过分析基本遗传算法存在的问题对其进行改进。利用高级遗传算法对船舶运行模型中的参数进行控制,并且对航行过程遇到的干扰噪声进行处理,最后通过仿真实验对本文设计的算法和最小二乘法进行比较,实验结果表明,即使在噪声干扰下,本文算法识别精度仍然高,并且对激励的要求限制小。
This paper analyzed the problems of basic genetic algorithm to improve it. Using advanced genetic algorithm to control ships parameters in the model. And processing interference noise during the voyage encountered. Finally,simulation experiments on the designed algorithm and least squares method to compare. Experimental results show,even in the noise,this algorithm still high recognition accuracy and limit small excitation requirements.
出处
《舰船科学技术》
北大核心
2016年第1X期109-111,共3页
Ship Science and Technology
关键词
遗传算法
船舶建模
噪声处理
genetic algorithms
ship modeling
noise processing
