In order to solve unconstrained optimization problems

a mixed conjugate gradient algorithm with a parameter was presented.Taking the advantages of the LS method and the generalized DY method

the new algorithm could guarantee that under the Wolfe line search the search direction was a sufficient descent direction at any iteration.Then the global convergence is proved

finally the numerical experimental results are given.