Benchmarking new optimization methods on test problems is essential for assessing their performance and tuning their parameters. Yet, few problems are avail...

This study investigates multi-store order delivery services where customers can order from multiple stores for home delivery. We first consider separated-ord...

The growing reliance on power electronics introduces new challenges requiring detailed time-domain analyses with fast and accurate circuit simulation tools...

Solving optimization problems in which functions are blackboxes and variables involve different types poses significant theoretical and algorithmic challeng...

Chemical graphs are simple undirected connected graphs, where vertices represent atoms in a molecule and edges represent chemical bonds. A degree-based topo...

Benchmarking is essential for assessing the effectiveness of optimization algorithms. This is especially true in derivative-free optimization, where target ...

For continuing tasks, average cost Markov decision processes have well- documented value and can be solved using efficient algorithms. However, it explici...

Ultra-fast delivery revolutionizes food and grocery services, with several companies advertising delivery times under 15 to 30 minutes. Motivated by the mult...

Local search methods start from a feasible solution and improve it by successive minor modifications until a solution that cannot be further improved is enco...

The \(p\)-median problem is a classical location problem where the goal is to select \(p\) facilities while minimizing the sum of distances from each loc...

Multiobjective blackbox optimization deals with problems where the objective and constraint functions are the outputs of a numerical simulation. In this cont...

This paper proposes a two-phase optimization framework for short-term hydropower scheduling in the day-ahead electricity market using profile block bids grou...

We consider fair resource allocation in sequential decision-making environments modeled as weakly coupled Markov decision processes, where resource constrain...

This work presents a new strategy to virtual bidding based on distributionally robust optimization (DRO) using a Wasserstein distance. Virtual bidding, a mec...

In this work, we propose improved task mapping strategies for real-time electric power system simulations on heterogeneous computing clusters, considering bo...

Algorithm NCL was devised to solve a class of large nonlinearly constrained optimization problems whose constraints do not satisfy LICQ at a solution. It ...

Hydropower generation plays a crucial role in the global energy landscape, offering a renewable and sustainable source of electricity. Accurate forecasting o...

Researchers around the globe attend the International Symposium on Mathematical Programming (ISMP) to share their latest results in mathematics, algorithms, ...

The crew rostering problem (CRP) for pilots is a complex crew scheduling task assigning pairings, or sequences of flights starting and ending at the same air...

We propose a multi-precision extension of the Quadratic Regularization (R2) algorithm that enables it to take advantage of low-precision computations, and by...

This paper introduces a new approach to nurse scheduling that integrates employee well-being into the decision-making process. A random forest regressor is t...

Motivated by a real-world application at a large international pharmaceutical company, we tackle an integrated location-inventory-transportation problem unde...

Retailers routinely face the strategic decision of how to promote their products. Two of the most common promotion strategies are bundling and discounting. D...

Bilevel optimization has garnered growing interest over the past decade. However, little attention has been paid to detecting and dealing with unboundedness...

The water pump scheduling problem is an optimisation model that determines which water pumps will be turned on or off at each time period over a given time h...

On February 4, 2025, the 5th edition of GERAD's Student Day took place, under the theme of energy transition. The aim of this event was to give students the ...

An industrial mining complex is an integrated value chain includes the excavation, transportation, processing, and distribution of mineral products as well a...

In mining complexes or mineral value chains, materials flow from extraction sites (mines) through crushers, stockpiles, waste dump and tailings, and processi...

Effective waste rock management is a crucial aspect of long-term planning of industrial mining complexes. When waste management is not considered during the ...

The research project, conducted in collaboration with Hydro-Québec, aims to create a control interface that links real-time electrical grid simulations to re...

This study explores wireless power transfer (WPT) systems for public electric vehicle charging, focusing on optimising the transmitter design to enhance inte...

Under pressure to reduce greenhouse gas emissions, the global passenger car market is currently experiencing a shift from vehicles powered by internal combus...

Avec la demande croissante en énergie et l’intégration des sources d’énergie renouvelable, les réseaux électriques font face à d’importants défis opérationne...

Le projet vise à développer un logiciel interactif pour optimiser la gestion des charges électriques résidentielles.

Objectifs : -Réduire le gaspillage é...

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

Population growth and city sprawl have been driving increasing amounts of traffic congestion in multiple major cities worldwide. In this scenario, developing...

Integrating Optical Transport Networks (OTNs) into multilayer Elastic Optical Networks (EONs) enhances data transmission efficiency but introduces significan...

A three-region optimal economic growth model is proposed to represent the global energy transition to net-zero emissions when carbon dioxide removal (CDR) te...

Blending problems occur when different components are mixed to form an end product. The recipe typically has some flexibility as long as specific quality con...

We investigate the impact of information asymmetry regarding the producer of remanufactured products on the decisions of a manufacturer and an authorized r...

We consider chemical graphs that are defined as connected graphs of maximum degree at most 3. We characterize the extremal ones, that is, those that maximize...

Motivated by our collaboration with an online platform operating in North America, we explore the joint optimization of the order fulfillment process with pe...

The central limit theorem is a fundamental result in probability theory that characterizes the distribution of deviation from the mean in the law of large nu...

In this paper, we address the problem of online estimation of spherical features in the field of camera for robotics. Specifically, we consider a mobile robo...

Mean Field Game equilibria are based on the assumption of instantaneous interactions within a population of interchangeable agents, where each agent's impact...

This paper addresses the problem of efficiently routing vehicles for spring sweeping operations in countries that spread sand and gravel on roads in winter. ...

This paper considers the problem of designing urban mobility hubs by modeling them as service-integrated hub-line location problems. We integrate traditional...

The procurement of freight services is an important element for the supply chain management of a shipper (i.e., a manufacturer or retailer) that sources tran...