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

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review


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.

Original languageEnglish
Title of host publicationProceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10
Number of pages8
Place of PublicationNew York
PublisherAssociation for Computing Machinery, Inc
Publication date2010
ISBN (Print)978-1-4503-0072-8
Publication statusPublished - 2010
Externally publishedYes
Event12th Annual Genetic and Evolutionary Computation Conference - 2010 - Portland Marriott Downtown Waterfront Hotel, Portland, United States
Duration: 07.07.201011.07.2010
Conference number: 12

    Research areas

  • Dispatching rules, Genetic programming, Job shop scheduling, Stochastic system optimization
  • Engineering