Abstract: A new adaptive immune evolutionary algorithm(NAIEA) is proposed on the basis of the immune network regulating mechanism of biological immune system.The NAIEA adopts selection operation according to the stimulation level of each antibody.A memory base for good antibodies is devised simultaneously and an adaptive adjusting strategy of antibody population is used to keep the diversity of the evolutionary antibodies.The experiments show that the NAIEA has better convergence performance than the standard genetic algorithm and can effectively avoid premature convergence and prevent the loss of population diversity of genetic algorithm.