运用改进的遗传算法拟合离子选择电极工作曲线

Fitting of Operating Curve for Ion-selective Electrode by the Improved Genetic Algorithm

本文提出运用改进的遗传算法拟合离子选择电极工作曲线,并以半对数线性函数模型和二阶幂函数模型为例,尝试了该算法的效果.结果表明,改进的遗传算法性能较好,优于一般遗传算法和直线回归法,可望成为各类传感器非线性曲线拟合的有效手段.

The improved genetic algorithm is used to fit the operating curve for the ion-selective electrode and to test its effectiveness with the example of semi-logarithmic linear function model and function model of power 2, the experimental shows than it operates well and is better than the original genetic algorithm, therefore it might be expected to become an effective tool to the fitting of nonlinear curve of various sensors.