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

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

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

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

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

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

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

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

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

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

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...

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...

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

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...

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

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...

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

Objectifs : -Réduire le gaspillage é...

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

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

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