DocumentCode :
3233633
Title :
Research of orthogonal genetic algorithms in probability simulation
Author :
Li, Shufang ; Zhang, Yi ; Gai, Nannan ; Yu, Jianqi
Author_Institution :
Dept. of Inf. Eng., Environ. Manage. Coll. of China, Qinhuangdao, China
fYear :
2011
fDate :
27-29 May 2011
Firstpage :
707
Lastpage :
710
Abstract :
In order to solve the complex optimization problems of uncertain phenomena effectively, this paper gives probability simulation optimization method based on orthogonal genetic algorithm. This method integrates simulation technology, orthogonal genetic algorithm with statistical testing perfectly. So it can more effectively solve complex optimization problems. In theory, by adopting probability method the study in complex optimization problem with uncertain phenomenon has strong rationality and operability. This method has better optimal performance than the traditional methods.
Keywords :
genetic algorithms; probability; statistical testing; uncertain systems; complex optimization problems; orthogonal genetic algorithms; probability method; probability simulation optimization method; simulation technology; statistical testing; uncertain phenomena; uncertain phenomenon; Software; Software algorithms; computer simulation; orthogonal genetic algorithm; simulation optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-61284-485-5
Type :
conf
DOI :
10.1109/ICCSN.2011.6014366
Filename :
6014366
Link To Document :
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