Adaptive robust optimization problems are usually solved approximately by restricting the
adaptive decisions to simple parametric decision rules. However, the corresponding …

Facility location decision is strategic: the construction of a new facility is typically costly and
the impact of the decision is long-lasting. Environmental changes, such as population shift …

We demonstrate how adjustable robust optimization (ARO) problems with fixed recourse can
be cast as static robust optimization problems via Fourier–Motzkin elimination (FME) …

In recent years, self-serve kiosks have become increasingly popular due to their 24/7
availability and lower setup and operational costs compared to traditional brick-and-mortar …

We study two-stage adjustable robust linear programming in which the right-hand sides are
uncertain and belong to a convex, compact uncertainty set. This problem is NP-hard, and the …

We propose a data-driven portfolio selection model that integrates side information,
conditional estimation, and robustness using the framework of distributionally robust …

An algorithm for the two-stage robust optimization surgery-to-operating room allocation
problem is presented. The second-stage problem is an integer linear program whose …

This paper explores the idea that two-stage worst-case regret minimization problems with
either objective or right-hand side uncertainty can be reformulated as two-stage robust …

Resiliency plays a critical role in designing future communication networks. How to make
edge computing systems resilient against unpredictable failures and fluctuating demand is …

Emergencies often lead to the impairment of infrastructure systems, including transportation
systems. It is necessary to analyze the uncertainty and correlation of transportation network …