Repository
How to publish
Resources
FAQs

β-robust solutions for the fuzzy open shop scheduling

Author:
Palacios Alonso, Juan JoséUniovi authority; González Rodríguez, InésUniovi authority; Rodríguez Vela, María del CaminoUniovi authority; Puente Peinador, JorgeUniovi authority
Publication date:
2014
Editorial:

Springer

Publisher version:
http://dx.doi.org/10.1007/978-3-319-08795-5_46
Serie:

Communications in Computer and Information Science;442

Descripción física:
p. 447-456
Abstract:

We consider the open shop scheduling problem with uncertain durations modelled as fuzzy numbers. We define the concepts of necessary and possible β-robustness of schedules and set as our goal to maximise them. Additionally, we propose to assess solution robustness by means of Monte Carlo simulations. Experimental results using a genetic algorithm illustrate the proposals

We consider the open shop scheduling problem with uncertain durations modelled as fuzzy numbers. We define the concepts of necessary and possible β-robustness of schedules and set as our goal to maximise them. Additionally, we propose to assess solution robustness by means of Monte Carlo simulations. Experimental results using a genetic algorithm illustrate the proposals

Description:

International Conference, IPMU 2014, (15th. 2014. Montpellier, France)

The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-08795-5_46

URI:
http://hdl.handle.net/10651/31978
ISBN:
978-3-319-08794-8
ISSN:
1865-0929
DOI:
10.1007/978-3-319-08795-5_46
Patrocinado por:

This research has been supported by the Spanish Government under research grants FEDER TIN2010-20976-C02-02 and MTM2010- 16051 and by the Principality of Asturias (Spain) under grant Severo Ochoa BP13106

Collections
Files in this item
Thumbnail
Métricas
Compartir
Estadísticas de uso
Estadísticas de uso
Metadata
Show full item record