A novel Hybrid Evolutionary Algorithm based on Quantum computing (HQEA) is proposed.In the algorithm population is divided into subpopulations by niche methods.Each subpopulation can obtain optimal solution by the self-adaptive operator and all subpopulations can co-evolve by quantum dynamic mechanism.Initialization chaotic sequence is not as well as random in homogeneity

so this approach proposes strategy of unsymmetrical area to obtain optimal solution more.This approach adopts real-coded chromosome to solve precision and efficiency problem of binary system.The algorithm can adjust to dynamic environment more because of the distributed and parallel characteristic based on quantum dynamic mechanism.The convergence of the HQEA is proved and the strategy for improving the performance of HQEA has been analyzed.Its superiority is shown by some simulation experiments in this paper.