Abstract: Based on the analyzing of the simulate annealing algorithm and genetic algorithm, a genetic-annealing algorithm with new crossover strategy, mutation strategy and inducing adjustment strategy is proposed to solve the problems including taking long time, premature convergence, and easily trapping into local optimum value in the process of global optimization. This paper adopts ten typical test functions to experiment. The results demonstrate that the algorithm can converge quickly with high accuracy.