A novel bio-inspired algorithm, cuckoo search(CS), is introduced along with the related L´evy flight mechanism. In order to improve the adaptation of this algorithm, a feedback control scheme of algorithm parameters is adopted in CS. By utilizing Rechenberg’s 1/5 criteria to evaluate evolution process, and introducing the learning factor, the diversification and intensification of population are well balanced. The dynamic adaptation cuckoo search(DACS) algorithm is proposed. Finally, numerical experiment results show the effectiveness of the proposed algorithm.