A Simulated Annealing-Based Barzilai-Borwein Gradient Method for Unconstrained Optimization Problems

摘要

In this paper, we propose a simulated annealing-based Barzilai-Borwein (SABB) gradient method for unconstrained optimization problems. The SABB method accepts the Barzilai-Borwein (BB) step by a simulated annealing rule. If the BB step cannot be accepted, the Armijo line search is used. The global convergence of the SABB method is established under some mild conditions. Numerical experiments indicate that, compared to some existing BB methods using nonmonotone line search technique, the SABB method performs well with high efficiency.