We present novel mixed-integer programming (MIP) formulations for optimization over
nonconvex piecewise linear functions. We exploit recent advances in the systematic …

This chapter considers one of the most important extensions to “basic” network design
models required to accurately model real-world applications: the fact that the capacity on the …

In this paper we reconsider a known technique for constructing strong MIP formulations for
disjunctive constraints of the form x ∈ ⋃ _ i= 1^ m P_i x∈⋃ i= 1 m P i, where the P_i P i are …

We present a novel algorithm for separating facet-inducing inequalities for the convex-hull of
the union of polytopes representing a disjunctive constraint of special structure. It is required …

This thesis focuses on bridging the overlap between the fields of Operations Research and
Machine Learning. We do so by providing efficient Mixed Integer Linear Optimization (MILO) …

Underground mine planning engineers face significant challenges when determining what
geometry provides the most profitable and safe stope for extraction. Several techniques and …

Electric storage systems, especially lithium-ion batteries, are pivotal in managing the
variability of renewable energy sources and advancing the electrification of the automotive …

Group decision making problems are everywhere in our day-to-day lives and have great
influence on the daily operation of companies and institutions. With the recent advances in …