DocumentCode
523650
Title
An Improved Genetic Algorithm and its Application
Author
Lina, Yang ; Zhihui, Li ; Gang, Liu
Author_Institution
P.L.A Inf. Eng. Univ., Zhengzhou, China
Volume
1
fYear
2010
fDate
11-12 May 2010
Firstpage
556
Lastpage
558
Abstract
A simulated annealing genetic algorithm, which is employed to solve the optimization model of (N+M) fault-tolerant systems, is put forward in this paper. The algorithm combines simulated annealing algorithm with genetic algorithm in constraints, choosing of crossover and mutation probability as well as mutation individual, to further improve its searching space, searching efficiency and convergence performance. Calculation result shows that the algorithm proposed in the paper is valid and correct.
Keywords
Automation; Computational modeling; Convergence; Cost function; Fault tolerant systems; Genetic algorithms; Genetic mutations; Optimal control; Simulated annealing; Temperature; (N+M) fault-tolerant system; genetic algorithm; optimization model; simulated annealing algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location
Changsha, China
Print_ISBN
978-1-4244-7279-6
Electronic_ISBN
978-1-4244-7280-2
Type
conf
DOI
10.1109/ICICTA.2010.789
Filename
5522760
Link To Document