Talks and Poster Presentations (with Proceedings-Entry):
G. Faustmann, C. Mrkvicka, N. Musliu, F. Winter:
"Automated configuration of parallel machine dispatching rules by machine learning";
Talk: GECCO 2021 - Genetic and Evolutionary Computation Conference, Companion Volume,
Lille, France;
2021-07-10
- 2021-07-14; in: "GECCO '21: Genetic and Evolutionary Computation Conference, Companion Volume, Lille, France, July 10-14, 2021",
(2021),
125
- 126.
English abstract:
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.
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.1145/3449726.3459541
Related Projects:
Project Head Nysret Musliu:
ARTIOS
Created from the Publication Database of the Vienna University of Technology.