一种基于遗传算法和高斯-牛顿法的合成算法在放射性药物生物动力学数据分析中的应用

Application of a mixed algorithm based on GA and Gauss-Newton algorithm in analysis of biokinetic data of radiopharmaceuticals

本文提出一种基于遗传算法和高斯-牛顿法的合成算法。通过一个实例介绍了其在放射性药物生物动力学数据分析中的应用。利用计算机编程实现数据拟合。结果表明合成算法优于单纯的遗传算法或高斯-牛顿法,在实践中有一定的应用价值。

In this paper, a mixed algorithm based on genetic algorithm（GA） and Gauss-Newton algorithm was presented and applied in analysis of biokinetic data of radiopharmaceuticals through an example. A special software was programmed for data fitting. The results showed that the practically mixed algorithm was better than simple GA or Gauss-Newton algorithm.