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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Beham, Andreas Winkler, Stephan Wagner, Stefan Affenzeller, Michael |
| Copyright Year | 2008 |
| Description | Author affiliation: Research Center Hagenberg, Upper Austrian University of Applied Sciences, Campus Hagenberg, Softwarepark 11, A-4232, Austria (Beham, Andreas; Winkler, Stephan) || Department of Software Engineering, Upper Austrian University of Applied Sciences, Campus Hagenberg, Softwarepark 11, A-4232 Hagenberg, Austria (Wagner, Stefan; Affenzeller, Michael) |
| Abstract | Scheduling and dispatching are two ways of solving production planning problems. In this work, based on preceding works, it is explained how these two approaches can be combined by the means of an automated rule generation procedure and simulation. Genetic programming is applied as the creator and optimizer of the rules. A simulator is used for the fitness evaluation and distributed over a number of machines. Some example results suggest that the approach could be successfully applied in the real world as the results are more than human competitive. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 366620 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424416936 |
| ISSN | 15302075 |
| DOI | 10.1109/IPDPS.2008.4536362 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-04-14 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Genetic programming Optimal scheduling Production planning Dispatching Software engineering Humans Cost function Assembly Testing |
| Content Type | Text |
| Resource Type | Article |
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