http://www.cnr.it/ontology/cnr/individuo/prodotto/ID204516
Scheduling a Single Robot in a Job-Shop Environment through Precedence Constraint Posting (Contributo in atti di convegno)
- Type
- Label
- Scheduling a Single Robot in a Job-Shop Environment through Precedence Constraint Posting (Contributo in atti di convegno) (literal)
- Anno
- 2011-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1007/978-3-642-21827-9_22 (literal)
- Alternative label
Diaz, Daniel [1]; Rodriguez-Moreno, Maria Dolores [1]; Cesta, Amedeo [2]; Oddi, Angelo [2]; Rasconi, Riccardo [2] (2011)
Scheduling a Single Robot in a Job-Shop Environment through Precedence Constraint Posting
in Modern Approaches in Applied Intelligence. 24th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems. Proceedings, pt. II (IEA/AIE 2011), Syracuse, USA, 28 June - 1 July 2011
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Diaz, Daniel [1]; Rodriguez-Moreno, Maria Dolores [1]; Cesta, Amedeo [2]; Oddi, Angelo [2]; Rasconi, Riccardo [2] (literal)
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- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
- ID_PUMA: cnr.istc/2011-A2-035 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
- http://link.springer.com/chapter/10.1007%2F978-3-642-21827-9_22 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- [1] Universidad de Alcala, Spain; [2] CNR-ISTC, Roma1-SanMartino (literal)
- Titolo
- Scheduling a Single Robot in a Job-Shop Environment through Precedence Constraint Posting (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
- 978-3-642-21826-2 (literal)
- Abstract
- The paper presents recent work on using robust state-of-the-art AI Planning and Scheduling (P&S) techniques to provide autonomous capabilities in a space robotic domain. We have defined a simple robotic scenario, reduced it to a known scheduling problem which is addressed here with a constraint-based, resource-driven reasoner. We present an initial experimentation that compares different meta-heuristic algorithms. (literal)
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