This paper addresses the difficulties mining companies face in planning their digital transformation. Based on the literature on project portfolio manageme...

This paper presents a partial outsourcing strategy for the vehicle routing problem with stochastic demands (VRPSD), and routing reoptimization is considered ...

For sequences of networks embedded in the unit cube \([0, 1]^m\), (weak) measure limits of sequences of empirical measures of vertex densities (vertexon...

The solution of the graphon mean field game equation (GMFG) is characterized by an HJB equation and an FPK equation coupled via a graphon mean field. An a...

In this report, we present our winning solution to the 16th AIMMS-MOPTA Optimization Modeling Competition on whether a fully renewable energy grid would bene...

When performing a Systematic Literature Review (SLR), the Abstract Screening Process (ASP) can be a very consuming and laborious task, especially when rese...

This paper introduces new model parameterizations for learning dynamical systems from data via the Koopman operator, and studies their properties. Whereas mo...

Bistable mechanical systems exhibit two stable configurations where the elastic energy is locally minimized. To realize such systems, origami techniques ha...

The increasing penetration of renewable electricity generation as well as the implementation of demand response programs has led to new challenges in the ope...

We consider mean field social optimization in nonlinear diffusion models. By dynamic programming with a representative agent employing cooperative optimize...

Producing accurate precipitation Intensity-Duration-Frequency (IDF) curves necessitates robust statistical methodologies. Employing a scaling model to combin...

The Thirteenth Montreal IPSW took place on August 21-25, 2023, and was jointly organized by the Centre de recherches mathématiques (CRM) and the Institute ...

Vehicle routing problems (VRPs) with deadlines have received significant attention around the world. Motivated by a real-world food delivery problem, we assu...

This poster conceptually lays out recent advances in trustworthy machine learning (ML) that are of great interest for power systems applications like virtu...

We extend the \(\alpha\) and \(\beta\) characteristic functions (CFs) to cooperative interval games, which constitute an interesting class of games t...

Inventory management for slow-moving items is challenging due to their high intermittence and lumpiness. Recent developments in machine learning and computat...

Determining optimal inventory replenishment decisions requires balancing the costs of excess inventory with shortage risks. While demand uncertainty has been...

In this work, we propose a non-intrusive and training free method to detect behind-the-meter (BTM) electric vehicle (EV) charging events from the data measur...

We show that the two-stage minimum description length (MDL) criterion widely used to estimate linear change-point (CP) models corresponds to the marginal lik...

Monte Carlo (MC) is widely used for the simulation of discrete time Markov chains. We consider the case of a \(d\)-dimensional continuous state space and w...