Publication: Decomposition Methods for Solving Sched...

Master data
Title: Decomposition Methods for Solving Scheduling Problem Using Answer Set Programming
Subtitle:
Abstract:

This study proposes solving scheduling problems in industrial applications using the decomposition approach. The proposed model has been built using Multi-shot Answer Set Programming with Difference Logic. We tested our model with some benchmark instances and the results showed that our model is comparable to Constraint Programming to other heuristics in the literature.
Keywords: Knowledge Representation and Reasoning
Publication type: Article in Proceedings (Authorship)
Publication date: 23.07.2022 (Online)
Published by: Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (IJCAI-22)
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (IJCAI-22)
to publication
 ( International Joint Conferences on Artificial Intelligence; L. de Raedt )
Title of the series: -
Volume number: -
First publication: Yes
Version: -
Page: pp. 5849 - 5850

Versionen
Keine Version vorhanden
Publication date: 23.07.2022
ISBN (e-book):
  • 978-1-956792-00-3
eISSN: -
DOI: http://dx.doi.org/10.24963/ijcai.2022/827
Homepage: -
Open access
  • Available online (open access)

Assignment
Organisation Address
Fakultät für Technische Wissenschaften
  Institut für Artificial Intelligence und Cybersecurity
Universitätsstr. 65-67
A-9020 Klagenfurt
Austria
  -993705
   aics-office@aau.at
https://www.aau.at/en/aics/
To organisation
Universitätsstr. 65-67
AT - A-9020  Klagenfurt

Categorisation
Subject areas
  • 1020 - Computer Sciences
Research Cluster No research Research Cluster selected
Peer reviewed
  • Yes
Publication focus
  • Science to Science (Quality indicator: I)
Classification raster of the assigned organisational units:
working groups
  • Adaptive und Vernetzte Produktionssysteme

Cooperations
No partner organisations selected

Articles of the publication
No related publications