Lecture: Decomposition Methods for Solving Scheduling Problem Using Answer Set...

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

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
Type: Registered lecture
Homepage: https:// https://www.ijcai-22.org/ijcai-2022-schedule/
Event: IJCAI-ECAI 2022, THE 31ST INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (Wien)
Date: 25.07.2022
lecture status: stattgefunden (Präsenz)

Participants
Mohammed Mahmoud Saadeldin El-Kholany
Mohammed.El-Kholany@aau.at
Institut für Artificial Intelligence und Cybersecurity
Research activities
To visiting card
(internal)
  • Author
  • Speaker

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
Focus of lecture
  • Science to Science (Quality indicator: I)
Classification raster of the assigned organisational units:
Group of participants
  • Mainly international
Published?
  • Yes
working groups
  • Adaptive und Vernetzte Produktionssysteme

Cooperations
No partner organisations selected