An improved genetic algorithm and its application

A novel hybrid learning algorithm based on a genetic algorithm, named simulated annealing genetic algorithm, is put forward in this paper to solve the optimization model of (N+M) fault-tolerant systems. A new adding method based on simulated annealing strategy is first used to generate the initial structure. Then a hybrid algorithm based on genetic algorithm and simulated annealing algorithm is used to adjust all parameters including crossover probability and mutation probability. Simulations are presented to illustrate the performance of the proposed algorithm.