Abstract: To raise global search capacity and convergent speed, a new evolution algorithm, based- descending search quantum evolution algorithm, was put forward on the basis of the quantum evolution algorithm (QEA) and the hybrid genetic algorithm. In the proposed algorithm, the descending search theory of optimization principles is applied, so the iterative effect, only relying on quantum gate, of QEA is improved to speed up the convergent speed, and the possibility of individual retrogression in the evolution process is reduced. The simulation result of a typical function shows that this algorithm has a good convergence performance and global search capacity.