基于偏最小二乘法的遗传模拟退火算法及其在大坝安全监控中的应用

Genetic simulated annealing algorithm based on partial least squares and its application in dam safe monitoring

介绍了基于偏最小二乘法的遗传模拟退火算法的编程方法和利用其建立大坝安全监控模型的方法。实例分析表明,遗传模拟退火算法筛选影响因子后由偏最小二乘法建立的安全监控模型与直接由偏最小二乘法建立的模型相比,不仅简化了模型、提高了模型的拟合精度,而且增强了所建模型的预测能力。

The programming of genetic simulated annealing algorithm (GSAA) based on partial least squares (PLS) and the method to build dam safe monitoring model utilizing the program are presented. Analysis of the example shows that GSAA based on PLS not only simplifies the model and improves its fitting accuracy but also increases the prediction ability of the model, in comparison with direct PLS.