Genetic and simulated annealing algorithm based on chaos variables

It is a research trend to incorporate neural network with genetic algorithm for solving technical and practical problems. As a single genetic algorithm has slow convergent speed and it is easily falling into local optimum, this paper presents a genetic and simulated annealing hybrid algorithm, which searches the neighborhood using chaos variables. And this paper trains a neural network using the single genetic algorithm and the proposed hybrid algorithm respectively. Simulation results show that the hybrid algorithm has more rapid convergent speed and better searching ability to find the global optimum.