摘要
提出一种基于改进的遗传算法的反射式光纤位移传感器数学模型优化方法 举例说明了该方法的应用 ,并将其与传统的Causs Newton优化方法进行比较 结果表明 ,用改进的遗传算法优化反射式光纤位移传感器的数学模型具有速度快、精度高的优点 ,且不像传统优化方法要求有一充分接近最优点的初值
A method for mathematical model optimization of the reflective fiber optic displacement sensor is presented based on the improved Genetic Algorithms (GAs).An example demonstrates how to use this method.The method is compared with the conventional Gauss Newton optimization method about the optimization capability.The result shows that the the accuracy of the optimized model using Genetic Algorithms is much better than that using the conventional optimization method and its optimization speed is much faster.Furthermore,it does not demand the initial parameters near the solution.Therefore,it is proved that the obtained mathematical model of the sensor by this method can rightly express the sensor′s actual sensed characteristics.
出处
《光子学报》
EI
CAS
CSCD
北大核心
2002年第10期1266-1269,共4页
Acta Photonica Sinica
关键词
反射式光纤位移传感器
数学模型
优化
遗传算法
Optical fiber
Displacement sensor
Modeling
Optimization
Genetic algorithms
