Vorträge und Posterpräsentationen (mit Tagungsband-Eintrag):
G. Faustmann, C. Mrkvicka, N. Musliu, F. Winter:
"Automated configuration of parallel machine dispatching rules by machine learning";
Vortrag: GECCO 2021 - Genetic and Evolutionary Computation Conference, Companion Volume,
Lille, France;
10.07.2021
- 14.07.2021; in: "GECCO '21: Genetic and Evolutionary Computation Conference, Companion Volume, Lille, France, July 10-14, 2021",
(2021),
S. 125
- 126.
Kurzfassung englisch:
Finding optimized machine schedules is a very important task that arises in many areas of industrial manufacturing. In practice dispatching rules are often used to create schedules within short run times. This paper investigates a method for automated specification of parameters for weighted dispatching rules. We define this problem as a machine learning task and propose a novel set of features to characterize problem instances. Experimental results with a practical dispatching rule show that our approach can obtain high quality solutions in short run times.
"Offizielle" elektronische Version der Publikation (entsprechend ihrem Digital Object Identifier - DOI)
http://dx.doi.org/10.1145/3449726.3459541
Zugeordnete Projekte:
Projektleitung Nysret Musliu:
ARTIOS
Erstellt aus der Publikationsdatenbank der Technischen Universität Wien.