DocumentCode
527377
Title
Genetic algorithm for determination of longitudinal dispersion coefficient in river
Author
Liu Xiaodong ; Xue Hongqin ; Xie Zengfang ; Yao Qi
Author_Institution
Key Lab. of Integrated Regul. & Resource Dev. on Shallow Lakes, Minist. of Educ., China
Volume
5
fYear
2010
fDate
10-12 Aug. 2010
Firstpage
2236
Lastpage
2238
Abstract
To overcome the difficulty in the identification of parameter of the water environmental system using standard genetic algorithm (SGA), a new method, namely float-type genetic algorithm (FGA), was suggested for determination of longitudinal dispersion coefficient in river. The method which is based on one dimensional water quality model with instantaneous source was validated by an ideal test and a numerical test. The computational results of FGA indicate that the new method can give better precision and faster convergence for tracer test.
Keywords
environmental factors; genetic algorithms; rivers; water quality; 1D water quality model; float type genetic algorithm; river; rvelongitudinal dispersion coefficient; water environmental system; Convergence; Dispersion; Noise; Optimization; Parameter estimation; Rivers; Water resources; genetic algorithm; longitudinal dispersion coefficient; model; parameter estimation; river;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location
Yantai, Shandong
Print_ISBN
978-1-4244-5958-2
Type
conf
DOI
10.1109/ICNC.2010.5582347
Filename
5582347
Link To Document