Genetic Regression Model for Dam Safety Monitoring

作     者：马震岳 陈维江 董毓新 MA Zhen-yue;CHEN Wei-jiang;DONG Yu-xin

作者机构：大连理工大学土木建筑工程学院大连116023 中国水利水电科学研究院北京100038 

出 版 物：《Transactions of Tianjin University》 (天津大学学报（英文版）)

年 卷 期：2002年第8卷第3期

页      面：196-199页

学科分类：081504[工学-水利水电工程] 08[工学] 0815[工学-水利工程] 

主　　题：dam safety monitoring under-fitting genetic regression model 

摘      要：Under-fitting problems usually occur in regression models for dam safety *** overcome the local convergence of the regression, a genetic algorithm (GA) was proposed using a real parameter coding, a ranking selection operator, an arithmetical crossover operator and a uniform mutation operator, and calculated the least-square error of the observed and computed values as its fitness function. The elitist strategy was used to improve the speed of the convergence. After that, the modified genetic algorithm was applied to reassess the coefficients of the regression model and a genetic regression model was set up. As an example, a slotted gravity dam in the Northeast of China was introduced. The computational results show that the genetic regression model can solve the under-fitting problems perfectly.