An Evolutionary Approach to Cyclic Real World Scheduling - HAL-SHS - Sciences de l'Homme et de la Société Accéder directement au contenu
Communication Dans Un Congrès Année : 2016

An Evolutionary Approach to Cyclic Real World Scheduling

Dominik Żelazny
  • Fonction : Auteur
  • PersonId : 1023048

Résumé

Real world problems are often an inspiration for engineers to model and solve new scheduling problems. In this paper a cyclic scheduling of jobs with uncertain data is considered. A minimization of the cycle time represents an important economical factor considered by the companies. Proposed model was tested and data concerning processing times was obtained. Due to the nature of stations and human operator factor, we deal with uncertain data modeled using fuzzy numbers. For the modeled production station a fuzzy genetic algorithm was proposed and tested against deterministic algorithms. Proposed algorithm outperformed all deterministic algorithms.
Fichier principal
Vignette du fichier
419526_1_En_33_Chapter.pdf (434.06 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01637490 , version 1 (17-11-2017)

Licence

Paternité

Identifiants

Citer

Dominik Żelazny. An Evolutionary Approach to Cyclic Real World Scheduling. 15th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM), Sep 2016, Vilnius, Lithuania. pp.366-373, ⟨10.1007/978-3-319-45378-1_33⟩. ⟨hal-01637490⟩
59 Consultations
52 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More