Title :
Rainfall-runoff simulation using improved evolution algorithm based on pattern search
Author :
Yang, Xiaohua ; Li, Yuqi
Author_Institution :
State Key Lab. of Water Environ. Simulation, Beijing Normal Univ., Beijing, China
Abstract :
Rainfall-runoff simulation is very important in practical environmental planning. To improve the computational accuracy for rainfall-runoff simulation, an improved evolution algorithm based on pattern search (IEAPS) is proposed, in which initial population are generated by chaos mapping and searching range is automatically renewed with the excellent individuals by pattern search. Its efficiency is verified by application of rainfall-runoff simulation for five rainfall events. Compared with standard binary-encoded genetic algorithm (SGA), pattern search algorithm (PSA), IEAPS has higher precision and rapider convergent speed. It is good for the global optimization in the practical rainfall-runoff simulation.
Keywords :
genetic algorithms; geophysics computing; hydrological techniques; hydrology; rain; IEAPS; chaos mapping; computational accuracy; convergent speed; evolution algorithm; pattern search algorithm; practical environmental planning; rainfall events; rainfall-runoff simulation; standard binary-encoded genetic algorithm; Algorithm design and analysis; Biological cells; Chaos; Computational modeling; Genetic algorithms; Mathematical model; Optimization; chaos; evolution algorithm; optimization; rainfall-runoff; simulation;
Conference_Titel :
Natural Computation (ICNC), 2012 Eighth International Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4577-2130-4
DOI :
10.1109/ICNC.2012.6234571
