DocumentCode :
1599571
Title :
The Application of Adaptive Immune Genetic Algorithm for Parameter Optimization in Soil Water Movement
Author :
Sun, Haiyan ; Wang, Quanjang ; Li, Xiaobin
Author_Institution :
Xian Univ. of Technol., Xian
Volume :
5
fYear :
2007
Firstpage :
130
Lastpage :
134
Abstract :
This paper introduces adaptive immune genetic algorithm (AIGA) . It based on genetic algorithm and immune principle. The algorithm defines selection, expansion and mutation operation. For improve searching ability of the global and local. The algorithm defines three new parameter as selection scale, expansion radius, mutation radius and adaptive adjusting parameters. A simulation test of soil water movement parameters optimization is done with AIGA. A good result is obtained from the model.
Keywords :
genetic algorithms; natural resources; search problems; adaptive adjusting parameter; adaptive immune genetic algorithm; expansion radius parameter; global searching ability; local searching ability; mutation operation; mutation radius parameter; parameter optimization; selection scale parameter; soil water movement; Arithmetic; Cloning; Genetic algorithms; Genetic mutations; Immune system; Optimal control; Optimization methods; Soil; Water conservation; Water resources;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation, 2007. ICNC 2007. Third International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-2875-5
Type :
conf
DOI :
10.1109/ICNC.2007.707
Filename :
4344824
Link To Document :
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