Title :
Application of Adaptive Genetic Algorithm in Inversion Analysis of Permeability Coefficients
Author_Institution :
Coll. of Hydroelectric Eng., Xian Univ. of Technol., Xian
Abstract :
Permeability coefficients of dam foundation are inversed on the base of real water heads. Otherwise, simple genetic algorithm has the disadvantages in determining the optimal probability values of the crossover and mutation, computation quantity is great and premature phenomena easily appears. Adaptive genetic algorithm is proposed to overcome the disadvantages which simple genetic algorithm has. At same time, adaptive genetic algorithm is used to identify the permeability coefficients of Er Tan dam foundation. The result shows that the method is effective in improving the computational convergence and overcoming the premature phenomena. So adaptive genetic algorithm is efficient and feasible in back analysis for permeability coefficients of dam.
Keywords :
dams; foundations; genetic algorithms; permeability; probability; structural engineering; Er Tan dam foundation; adaptive genetic algorithm; computational convergence; inversion analysis; optimal probability; permeability coefficient; Algorithm design and analysis; Computer applications; Convergence; Educational institutions; Genetic algorithms; Genetic engineering; Genetic mutations; Geologic measurements; Magnetic heads; Permeability; adaptive genetic algorithm; genetic algorithm; inversion of parameter; permeability coefficients;
Conference_Titel :
Genetic and Evolutionary Computing, 2008. WGEC '08. Second International Conference on
Conference_Location :
Hubei
Print_ISBN :
978-0-7695-3334-6
DOI :
10.1109/WGEC.2008.63