Scheduling High Multiplicity Coupled Tasks

Autor: Michaël Gabay, Wojciech Wojciechowicz
Přispěvatelé: Institute of Computing Science [Poznan], Poznan University of Technology (PUT), Recherche Opérationnelle pour les Systèmes de Production (G-SCOP_ROSP), Laboratoire des sciences pour la conception, l'optimisation et la production (G-SCOP), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA)-Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA)-Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)
Rok vydání: 2020
Předmět:
Zdroj: Foundations of computing and decision sciences
Foundations of computing and decision sciences, 2020, 45 (1), pp.47-61. ⟨10.2478/fcds-2020-0004⟩
Foundations of Computing and Decision Sciences, Vol 45, Iss 1, Pp 47-61 (2020)
ISSN: 2300-3405
0867-6356
DOI: 10.2478/fcds-2020-0004
Popis: The coupled tasks scheduling problem is class of scheduling problems, where each task consists of two operations and a separation gap between them. The high-multiplicity is a compact encoding, where identical tasks are grouped together, and the group is specified instead of each individual task. Consequently the encoding of a problem instance is decreased significantly. In this article we derive a lower bound for the problem variant as well as propose an asymptotically optimal algorithm. The theoretical results are complemented with computational experiment, where a new algorithm is compared with three other algorithms implemented.
Databáze: OpenAIRE