Abstract: In this paper, we propose a non-monotone trust region algorithm based on conic model for unconstrained optimization problems. The method combines a non-monotone technique and a trust region method. Different from the usual trust region methods, the sub-problem of our new algorithm is the conic minimization sub-problem. The theoretical analysis indicates that the new method has the global convergence under some reasonable conditions.