Integer (linear) programs are a standard way of formalizing a vast array of optimization problems in industry, services, management, science, and technology....

This paper presents a transmission expansion planning framework that couples Benders decomposition with an operational layer based on a semidefinite programm...

Topological indices are graph-theoretic descriptors that play a crucial role in mathematical chemistry, capturing the structural characteristics of molecules...

This paper investigates the Collaborative Routing Orchestration for Organic Food Distribution Problem (CRO-FDP), a two-echelon collaborative distribution n...

The CRM, IVADO, and GERAD organized jointly the Fifteenth Montreal Industrial Problem Solving Workshop, which was held at HEC Montréal on June 2-6, 2025. We ...

In this paper, we study the pickup and delivery problem with time windows, multiple compartments, incompatibility constraints and cleaning operations (PDPTWM...

This paper presents a perturbation analysis for linear quadratic Gaussian graphon mean field games (LQG-GMFGs) with Q-noise. The perturbation response functi...

This paper presents RegularizedOptimization.jl, a Julia package that implements families of nonsmooth optimization methods.

We develop R2N, a modified quasi-Newton method for minimizing the sum of a \(\mathcal{C}^1\) function \(f\) and a lower semi-continuous prox-bounded `(h...

We extend traditional complexity analyses of trust-region methods for unconstrained, possibly nonconvex, optimization. Whereas most complexity analyses assu...

We develop a worst-case evaluation complexity bound for trust-region methods in the presence of unbounded Hessian approximations. We use the algorithm of ...

We introduce method iR2N, a modified proximal quasi-Newton method for minimizing the sum of a \(\mathcal{C}^1\) function \(f\) and a lower semi-continuou...

This multi-model analysis examines the prospects of hydrogen in the Canadian and German energy systems, and particularly of hydrogen exports from Canada to...

In this paper, a new deterministic model is developed for the real-time optimization of microgrids with diesel gensets and battery energy storage systems. Th...

Mining complexes face increasing pressure to reduce environmental impacts, yet most short-term stochastic optimization frameworks in mining complexes negle...

This work presents a case study where four well-known derivative-free solvers are benchmarked on several instances based on the \(\textsf{solar}\) suite of...

Effective waste rock management is a crucial aspect of long-term mine planning and production scheduling. When waste management is not considered during th...

The reformulation-linearization technique (RLT) is a well-established framework for generating hierarchies of linear programming (LP) relaxations for a wide ...

We present a GPU implementation of Algorithm NCL, an augmented Lagrangian method for solving large-scale and degenerate nonlinear programs. Although interio...

We examine the abatement investment and pricing decisions within a supply chain where consumers prioritize environmental performance. The product's green r...