Titre :

Solving the Resource-Constrained Project Scheduling Problem (RCPSP) with Quantum Annealing

Auteur(s) :

Pérez Armas, Luis Fernando [Auteur]
Laboratoire d'Economie et de Management [LEM]
Creemers, Stefan [Auteur]
Laboratoire d'Economie et de Management [LEM]
Deleplanque, Samuel [Auteur]
Acoustique - IEMN [ACOUSTIQUE - IEMN]
JUNIA [JUNIA]

Titre de la revue :

Scientific Reports

Pagination :

16784

Éditeur :

Nature Publishing Group

Date de publication :

2024-07

ISSN :

2045-2322

Mot(s)-clé(s) en anglais :

Resource Constrained Project Scheduling Problem Quantum Optimization Quantum Annealing 1
Resource Constrained Project Scheduling Problem
Quantum Optimization
Quantum Annealing

Discipline(s) HAL :

Informatique [cs]

Résumé en anglais : [en]

Quantum annealing emerges as a viable solution for solving complex problems such as the resource-constrained project scheduling problem (RCPSP). We analyze 12 Mixed Integer Linear Programming (MILP) formulations for solving ...
Lire la suite >Quantum annealing emerges as a viable solution for solving complex problems such as the resource-constrained project scheduling problem (RCPSP). We analyze 12 Mixed Integer Linear Programming (MILP) formulations for solving the RCPSP, and convert the most qubit-efficient formulation into a Quadratic Unconstrained Binary Optimization (QUBO) model. We solve this QUBO model using the D-Wave Advantage 6.3 Quantum Annealing machine and compare its performance with that of classical computer solvers. This pioneering effort marks the first use of quantum annealing for RCPSP, showing promising results, especially for smaller to medium-sized instances.Lire moins >

Langue :

Anglais

Vulgarisation :

Non

Collections :

• Institut d'Électronique, de Microélectronique et de Nanotechnologie (IEMN) - UMR 8520

Source :

Harvested from HAL