Abstract
To optimize the large-scale capacitated hub median problem in a numerically effective manner, we proposed a hybrid method composed of meta-heuristic and graph algorithms. In this study, we have implemented a new parallel algorithm for this method on PC cluster to improve the computation efficiency from the aspect both of accuracy and computation time. Through numerical experiments, we verified the performance of the proposed method.