An Evolutionary Approach to Cyclic Real World Scheduling - Computer Information Systems and Industrial Management (CISIM 2016) Access content directly
Conference Papers Year : 2016

An Evolutionary Approach to Cyclic Real World Scheduling

Dominik Żelazny
  • Function : Author
  • PersonId : 1023048

Abstract

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
Origin : Files produced by the author(s)
Loading...

Dates and versions

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

Licence

Attribution

Identifiers

Cite

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 View
52 Download

Altmetric

Share

Gmail Facebook X LinkedIn More