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Genetic Regression Model for Dam Safety Monitoring(PDF)

Transactions of Tianjin University[ISSN:1006-4982/CN:12-1248/T]

Issue:
2002年03期
Page:
196-199
Publishing date:

Info

Title:
Genetic Regression Model for Dam Safety Monitoring
Author(s):
MA Zhen-yue 1CHEN Wei-jiang 2 DONG Yu-xin 1
(1. School of Civil Engineering and Architecture, Dalian University of Technology, Dalian 116023, China; 2. China Institute of Hydropower and Water Research,Beijing 100038,China)
Keywords:
DOI:

Abstract:
Under-fitting problems usually occur in regression models for dam safety monitoring.To 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.

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Last Update: 2011-05-02