SIMULATED ANNEALING GENETIC ALGORITHM FOR SOLVING THE OPTIMIZATION MODEL OF (N+M) FAULT-TOLERANT SYSTEMS
Shengtie Wang · Journal of Inner Mongolia Polytechnic University · 2005
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.This algorithm combines simulated annealing algorithm with genetic algorithm in the treatment of constraints and the selection of crossover and mutation probability as well as the mutation individuals,for the purpose of further improving the algorithmic searching space,searching efficiency and convergence performance.Calculated results show that the algorithm proposed in this paper is correct and effective.