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

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...

Ridesharing could offer a solution to urban mobility challenges by delivering affordability and convenience while reducing congestion and environmental impac...

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

We investigate a $T$-stage dynamic network formation game with linear-quadratic payoffs. Players interact through network which they create as a result...

Dealing with climate change requires that all countries engage in costly efforts to reduce their emissions. Reaching this objective has so far been elusive...

In this paper, we propose an efficient payment scheme for sustaining cooperation in finitely many times repeated Prisoner's Dilemma games. The scheme is pa...

We characterize cooperative and non-cooperative solutions of a dynamic game played over event tree when the transition probability are not given. We assume...

Operating mining complexes constantly collect data from a wide variety of sources that directly or indirectly measure pertinent geological and geometallurg...

We develop a maximum-likelihood (ML) approach based on option markets for estimating structural models. We use dynamic programming and finite elements, der...

As the need for interpretable machine learning continues to grow, we propose a novel post-clustering method to generate counterfactual explanations for clust...