This paper develops a correspondence relating convex hulls of fractional functions with
those of polynomial functions over the same domain. Using this result, we develop a number …

We propose a new stochastic emergency network design model that uses a fleet of drones
to quickly deliver naloxone in response to opioid overdoses. The network is represented as …

We propose a novel modeling framework for supply chain network design that models a
prevailing trend in consumer choice in which demand is impacted by carbon footprint. To …

Feature selection is a fundamental preprocessing step for many machine learning and
pattern recognition systems. Notably, some mutual-information-based and correlation-based …

Computing the edge expansion of a graph is a famously hard combinatorial problem for
which there have been many approximation studies. We present two versions of an exact …

Multiobjective linear fractional programming is useful to model multiobjective problems
where all or some of the objective functions are a ratio or proportion of one linear/affine …

This paper examines how to plan multi-period assortments when customer utility depends
on historical assortments. We formulate this problem as a nonlinear integer programming …

The traditional machine-part cell formation problem simultaneously clusters machines and
parts in different production cells from a zero–one incidence matrix that describes the …

In this paper, we study a facility location problem within a competitive market context, where
customer demand is predicted by a random utility choice model. Unlike prior research, which …

In this note we study multiple-ratio fractional 0–1 programs, a broad class of NP-hard
combinatorial optimization problems. In particular, under some relatively mild assumptions …