DocumentCode
2825623
Title
Reliability Optimizing of the Series-Parallel System Owing to Immune Genetic Algorithm
Author
Qi, Chen ; Shu-ping, Hou
Author_Institution
Sch. of Inf. Eng., Tianjin Univ. of Commerce, Tianjin, China
fYear
2009
fDate
1-3 Nov. 2009
Firstpage
413
Lastpage
416
Abstract
Immune genetic algorithm is to imitate the biological mechanism for the development of the system. It can be applied to solve the series-parallel system reliability optimization problems, and more optimal solution of the global will be provided. Experimental results show that the global convergence and the speed of convergence are both improved.
Keywords
convergence; genetic algorithms; biological mechanism; global convergence; immune genetic algorithm; reliability optimizing; series-parallel system reliability optimization problems; Business; Cost function; Dynamic programming; Genetic algorithms; Genetic engineering; Immune system; Intelligent networks; Linear programming; Redundancy; Reliability engineering; immune genetic algorithm; optimizing; reliability;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Networks and Intelligent Systems, 2009. ICINIS '09. Second International Conference on
Conference_Location
Tianjin
Print_ISBN
978-1-4244-5557-7
Electronic_ISBN
978-0-7695-3852-5
Type
conf
DOI
10.1109/ICINIS.2009.112
Filename
5363836
Link To Document