A wide range of problems can be modeled as Mixed Integer Linear Programming (MIP)
problems using standard formulation techniques. However, in some cases the resulting MIP …

As the modern transmission control and relay technologies evolve, transmission line
switching has become an important option in power system operators' toolkits to reduce …

We consider the integer L-shaped method for two-stage stochastic integer programs. To
improve the performance of the algorithm, we present and combine two strategies. First, to …

We propose a scenario decomposition algorithm for stochastic 0–1 programs. The algorithm
recovers an optimal solution by iteratively exploring and cutting-off candidate solutions …

Unit Commitment is usually formulated as a Mixed Binary Linear Programming (MBLP)
problem. When considering a large number of units, state-of-the-art methods such as branch …

Designing configurations for multicomponent distillation, a ubiquitous process in chemical
and petrochemical industries, is often challenging. This is because, as the number of …

Motivated by modern regression applications, in this paper, we study the convexification of a
class of convex optimization problems with indicator variables and combinatorial constraints …

Two-stage robust optimization problems, in which decisions are taken both in anticipation of
and in response to the observation of an unknown parameter vector from within an …

In this paper, we establish a low-degree polynomially-sized reduction between tree
ensemble optimization and optimization of multilinear functions over a Cartesian product of …

Recently, researchers have started exploring the design of route protection schemes that
ensure networks can sustain traffic demand without congestion under failures. Existing …