Combinatorial optimization with multiple resources and energy constraints - Archive ouverte HAL Accéder directement au contenu
Poster De Conférence Année : 2013

Combinatorial optimization with multiple resources and energy constraints

Résumé

The OREM project takes place in a context where energy considerations are becoming paramount in the resolution of real-world applications. The goal is to address the combinatorial optimization challenge of integrating energy constraints in deterministic scheduling models such as job-shop scheduling or resource-constrained project scheduling. The specificity of this project is to consider multiple energy sources with constraints related to their physical, technological and performance characteristics. New hybridization of techniques and solution methods : combination of patterns generation (including dual solutions-based filtering) and propagation of resources constraints for the scheduling problem are considered. The ambition of the project is to define a new and efficient methodology for the integration of the energy sources characteristics in combinatorial optimization problems.
Fichier principal
Vignette du fichier
posterPGMO_eng.pdf (1.07 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01163045 , version 1 (11-06-2015)

Identifiants

  • HAL Id : hal-01163045 , version 1

Citer

Sandra Ulrich Ngueveu, Christian Artigues, Pierre Lopez. Combinatorial optimization with multiple resources and energy constraints. PGMO's Days 2013, Oct 2013, Paris, France. , 2013. ⟨hal-01163045⟩
214 Consultations
37 Téléchargements

Partager

Gmail Facebook X LinkedIn More