Representing Integer Program Value Function with Neural Networks

We study the value function of an integer program (IP) by characterizing how its optimal value changes as the right-hand side varies. We show that the IP value function can be approximated to any desired degree of accuracy using machine learning (ML) techniques. Since an IP value function is a Chv├ítal-Gomory (CG) function, we first … Read more