1 code implementation • 8 Dec 2021 • Yunzhuang Shen, Yuan Sun, XiaoDong Li, Andrew Eberhard, Andreas Ernst
In each iteration of CG, our MLPH leverages an ML model to predict the optimal solution of the pricing problem, which is then used to guide a sampling method to efficiently generate multiple high-quality columns.
1 code implementation • 12 May 2020 • Yuan Sun, Andreas Ernst, Xiao-Dong Li, Jake Weiner
In this paper, we examine the generalization capability of a machine learning model for problem reduction on the classic travelling salesman problems (TSP).