Large-scale distributed wireless networks provide infrastructure-free and cost-effective connectivity, supporting applications from disaster recovery to glob...

Rolling stock scheduling and crew scheduling are two fundamental problems that arise in the planning of urban rail operations and that are especially importa...

A shift toward shopping at (autonomous) wheeled vending stores is redefining urban retail. Compared with traditional brick-and-mortar stores, such mobile sto...

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

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

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

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

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

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, ...

La production hydroélectrique joue un rôle crucial dans le paysage énergétique mondial en offrant une source d'électricité renouvelable et durable. La prévis...

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

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...

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...