Towards improved dispatching rules for complex shop floor scenarios - A genetic programming approach

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Authors

Developing dispatching rules for manufacturing systems is a tedious process, which is time- and cost-consuming. Since there is no good general rule for different scenarios and objectives automatic rule search mechanism are investigated. In this paper an approach using Genetic Programming (GP) is presented. The priority rules generated by GP are evaluated on dynamic job shop scenarios from literature and compared with manually developed rules yielding very promising results also interesting for Simulation Optimization in general.

OriginalspracheEnglisch
TitelProceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10
Anzahl der Seiten8
ErscheinungsortNew York
VerlagAssociation for Computing Machinery, Inc
Erscheinungsdatum2010
Seiten257-264
ISBN (Print)978-1-4503-0072-8
DOIs
PublikationsstatusErschienen - 2010
Extern publiziertJa
Veranstaltung12th Annual Genetic and Evolutionary Computation Conference - 2010 - Portland Marriott Downtown Waterfront Hotel, Portland, USA / Vereinigte Staaten
Dauer: 07.07.201011.07.2010
Konferenznummer: 12
http://www.sigevo.org/gecco-2010/

DOI

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