The multiphase course timetabling problem

This paper introduces the multiphase course timetabling problem and presents mathematical formulations and effective solution algorithms to solve it in a real case study. Consider a pool of lessons and a number of students who are required to take a subset of these lessons to graduate. Each lesson consists of a predetermined and consecutive sequence … Read more

Two-stage stochastic days-off scheduling of multi-skilled analysts with training options

Motivated by a cybersecurity application, this paper studies a two-stage, stochastic days-off scheduling problem with 1) many types of jobs that require specialized training, 2) many multi-skilled analysts, 3) the ability to shape analyst skill sets through training decisions, and 4) a large number of possible future demand scenarios. We provide a integer linear program … Read more

Recent Progress Using Matheuristics for Strategic Maritime Inventory Routing

This paper presents an extensive computational study of simple, but prominent matheuristics (i.e., heuristics that rely on mathematical programming models) to fi nd high quality ship schedules and inventory policies for a class of maritime inventory routing problems. Our computational experiments are performed on a set of the publicly available MIRPLib instances. This class of inventory … Read more

Matheuristics for $\PsihBcLearning

Recently, the so-called $\psi$-learning approach, the Support Vector Machine (SVM) classifier obtained with the ramp loss, has attracted attention from the computational point of view. A Mixed Integer Nonlinear Programming (MINLP) formulation has been proposed for $\psi$-learning, but solving this MINLP formulation to optimality is only possible for datasets of small size. For datasets of … Read more