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
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;
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
DOI :
10.1109/ICICTA.2010.789
