Enhanced priority rule synthesis with waiting conditions

22th European Modeling and Simulation Symposium, EMSS 2010

Volumn , Issue , 2010, Pages 65-70

  Beham, Andreas ^a   Kofler, Monika ^a   Wagner, Stefan ^a   Affenzeller, Michael ^a   Heiss, Helga ^b   Vorderwinkler, Markus ^b  

^a UNIVERSITY OF APPLIED SCIENCES UPPER AUSTRIA   (Austria)

^b PROFACTOR GMBH   (Austria)

Author keywords

Dispatching; Genetic programming; Priority rule; Scheduling

Indexed keywords

AUTOMATED SYNTHESIS; DISPATCHING; METAHEURISTIC; OPTIMIZERS; PRIORITY RULES; PRIORITY-RULE; RULE SYSTEMS;

GENETIC PROGRAMMING; SCHEDULING;

COMPUTER SIMULATION;

EID: 80555158271     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. th annual ACM symposium on Theory of computing, pp. 130-139.
2. Aufenanger, M., Varnholt, H., and Dangelmaier, W., 2009. Adaptive Flow Control in Flexible Flow Shop Production Systems - A Knowledge-Based Approach. Proceedings of the 2009 Winter Simulation Conference, pp. 2164-2175, Austin, TX, USA.
3. Beham, A., Winkler, S., Wagner, S., and Affenzeller, M., 2008. A Genetic Programming Approach to Solve Scheduling Problems with Parallel Simulation. Proceedings of the 22nd IEEE International Parallel & Distributed Processing Symposium (IPDPS08), IEEE.
4. Garey, M.R., Johnson, D.S., and Sethi, R., 1976. The complexity of flowshop and jobshop scheduling. Mathematics of Operations Research, 1 (2), pp. 117-129.
5. nd International Symposium on Logistics and Industrial Informatics (LINDI 2009), pp. 25-30. IEEE Publications.
6. Mouelhi-Chibani, W., and Pierreval, H., 2010. Training a neural network to select dispatching rules in real time. Computers & Industrial Engineering, 58, pp. 249-256.
7. Olafsson, S., and Li, X., 2010. Learning effective new single machine dispatching rules from optimal scheduling data. International Journal of Production Economics, doi:10.1016/j.ijpe.2010. 06.004.
8. Panwalkar, S.S., and Iskander, W., 1977. A Survey of Scheduling Rules. Operations Research, 25, pp. 45-61.
9. nd edition. Prentice Hall.
10. Vazquéz-Rodríguez, J.A., and Petrovic, S., 2009. A new dispatching rule based genetic algorithm for the multi-objective job shop problem. Journal of Heuristics, doi: 10.1007/s10732-009-9120-8.