基于差分进化算法的枞树型叶根测量数据处理方法

The Differential Evolution Algorithm for Processing of the Fir-tree Root Measure Data

结合枞树型叶根的型线特点,将某一大功率汽轮机末级动叶枞树型叶根的测量数据拟合处理,转化成多约束条件下多参数单目标最小值优化问题,并采用差分进化算法进行求解。拟合结果表明这种处理模式是合理的,差分进化算法能够很好地应用于该类工业测量数据的拟合。

Based on the geometric features, the curve fitting with the fir-tree root measure data of the last-stage rotational blade for a large power turbine was performed. The fitting problem was transformed to a best minimum optimal problem in which twelve variables were involved, the differential evolution algorithm was selected as an optimization tool. The results showed the model in this paper was effective and the differential evolution algorithm was good for fitting about industrial measure data.