The analysis of convergence of hybrid algorithm based on Neural Network and Genetic Algorithm

This paper analyzes the advantages and disadvantages of GA and BP algorithms, and presents the iteration of hybrid algorithm based on both algorithms. The hybrid algorithm incorporates the stronger global search of GA into the stronger local search of BP, and can search out the global optimum faster than each algorithm. At last, the hybrid algorithm is proved converge to the global optimum with the probability of 1.