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
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