Back to Search Start Over

Parameterized Complexity of a Parallel Machine Scheduling Problem

Authors :
Mallem, Maher
Hanen, Claire
Munier-Kordon, Alix
Recherche Opérationnelle (RO)
LIP6
Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)
Université Paris Nanterre - Département de Mathématiques et Informatique
Université Paris Nanterre (UPN)
Architecture et Logiciels pour Systèmes Embarqués sur Puce (ALSOC)
Source :
International Symposium on Parameterized and Exact Computation (IPEC), International Symposium on Parameterized and Exact Computation (IPEC), Sep 2022, Postdam, Germany
Publication Year :
2022
Publisher :
Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2022.

Abstract

In this paper we consider the parameterized complexity of two versions of a parallel machine scheduling problem with precedence delays, unit processing times and time windows. In the first version - with exact delays - we assume that the delay between two jobs must be exactly respected, whereas in the second version - with minimum delays - the delay between two jobs is a lower bound on the time between them. Two parameters are considered for this analysis: the pathwidth of the interval graph induced by the time windows and the maximum precedence delay value. We prove that our problems are para-NP-complete with respect to any of the two parameters and fixed-parameter tractable parameterized by the pair of parameters.<br />LIPIcs, Vol. 249, 17th International Symposium on Parameterized and Exact Computation (IPEC 2022), pages 21:1-21:21

Details

Language :
English
Database :
OpenAIRE
Journal :
International Symposium on Parameterized and Exact Computation (IPEC), International Symposium on Parameterized and Exact Computation (IPEC), Sep 2022, Postdam, Germany
Accession number :
edsair.doi.dedup.....39c9659c4c2e3923767f44b666512ae1
Full Text :
https://doi.org/10.4230/lipics.ipec.2022.21