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
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;
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
DOI :
10.1109/ICINIS.2009.112
