We propose a method to approximate the solution of online mixed-integer optimization (MIO)
problems at very high speed using machine learning. By exploiting the repetitive nature of …

The SCIP Optimization Suite is a powerful collection of optimization software that consists of
the branch-cut-and-price framework and mixed-integer programming solver SCIP, the linear …

In hybrid model predictive control (MPC), a mixed-integer quadratic program (MIQP) is
solved at each sampling time to compute the optimal control action. Although these …

This paper explores reoptimization techniques for solving sequences of similar mixed
integer programs (MIPs) more effectively. Traditionally, these MIPs are solved …

It is often useful in practice to explore near-optimal solutions of an integer programming
problem. We show how all solutions within a given tolerance of the optimal value can be …

Cloud object stores offer vastly different price points for object storage as a function of
workload and geography. Poor object placement can thus lead to significant cost overheads …

We consider the problem of solving a family of parametric mixed-integer linear optimization
problems where some entries in the input data change. We introduce the concept of …

Linear and mixed integer optimisation problems have demonstrated their strength in the field
of logistics and supply chain management for years. However, real-world optimisation …

In real-time traffic management, a new schedule for the vehicles must be computed
whenever a deviation from the current plan is detected, or periodically after some time. If this …

This thesis offers methodological and computational contributions to integer and mixed-
integer linear programming. The first area is postoptimality, in which we explore how …