Improving Local Search for Fuzzy Scheduling Problems
| dc.creator | Geiger, Martin Josef | |
| dc.creator | Petrovic, Sanja | |
| dc.date | 2008-09-03 | |
| dc.date.accessioned | 2026-07-07T10:00:24Z | |
| dc.date.available | 2026-07-07T10:00:24Z | |
| dc.description | The integration of fuzzy set theory and fuzzy logic into scheduling is a rather new aspect with growing importance for manufacturing applications, resulting in various unsolved aspects. In the current paper, we investigate an improved local search technique for fuzzy scheduling problems with fitness plateaus, using a multi criteria formulation of the problem. We especially address the problem of changing job priorities over time as studied at the Sherwood Press Ltd, a Nottingham based printing company, who is a collaborator on the project. | |
| dc.identifier | https://arxiv.org/abs/0809.0662 | |
| dc.identifier | http://arxiv.org/abs/0809.0662 | |
| dc.identifier | Proceedings of the Post Graduate Research Conference in Electronics, Photonics, Communications & Networks and Computing Science PREP 2004, University of Hertfordshire, Great Britain, pp. 146-147 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/168313 | |
| dc.subject | Artificial Intelligence | |
| dc.title | Improving Local Search for Fuzzy Scheduling Problems | |
| dc.type | text |