Production fine planning using a solution archive of priority rules

LINDI 2011 - 3rd IEEE International Symposium on Logistics and Industrial Informatics, Proceedings

Volumn , Issue , 2011, Pages 111-116

  Pitzer, Erik ^a   Beham, Andreas ^a   Affenzeller, Michael ^a   Heiss, Helga ^b   Vorderwinkler, Markus ^b  

^a UNIVERSITY OF APPLIED SCIENCES UPPER AUSTRIA   (Austria)

^b PROFACTOR GMBH   (Austria)

Author keywords

[No Author keywords available]

Indexed keywords

DISTRIBUTED SYSTEMS; OPTIMIZATION PROCESS; PARETO FRONT; PRIORITY RULES; RULE BASED; SPEED-UPS; SUBOPTIMAL SOLUTION;

BIOLOGY; DISTRIBUTED COMPUTER SYSTEMS; GENETIC PROGRAMMING; INFORMATION SCIENCE; RHENIUM COMPOUNDS;

OPTIMIZATION;

EID: 80555149866     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/LINDI.2011.6031130     Document Type: Conference Paper

References (16)

1. M. Pinedo, Scheduling: Theory, Algorithms and Systems. Prentice-Hall, 1995.
2. M. R. Garey, D. S. Johnson, and R. Sethi, "The complexity of flowshop and jobshop scheduling," Mathematics of Operations Research, vol. 1, no. 2, pp. 117-129, May 1976.
3. S. Albers, "Better bounds for scheduling," SIAM Journal on Computing, vol. 29, no. 2, pp. 459-473, 1999.
4. S. S. Panwalkar and W. Iskander, "A survey of scheduling rules," Operations Research, vol. 25, no. 1, pp. 45-61, Jan-Feb 1977.
5. S. Olafsson, X. Li, and S. Wu, "Operations research and data mining," European Journal of Operational Research, vol. 187, pp. 1429-1448, 2008.
6. M. Aufenanger, H. Varnholt, and W. Dangelmaier, "Adaptive flow control in flexible flow shop production systems - a knowledge-based approach," in Proceedings of the 2009 Winter Simulation Conference, M. D. Rossetti, R. Hill, B. Johansson, A. Dunkin, and R. G. Ingalls, Eds. IEEE, 2009, pp. 2164-2175.
7. V. Mouelhi-Chibani and H. Pierreval, "Training a neural network to select dispatching rules in real time," Computers & Industrial Engineering, vol. 58, pp. 249-256, 2010.
8. J. A. Vázques-Rodríguez and S. Petrovic, "A new dispatching rule based genetic algorithm for the multi-objective job shop problem," Journal of Heuristics, vol. 16, pp. 771-793, 2010.
9. nd International Symposium on Logistics and Industrial Informatics (LINDI 2009). IEEE, 2009, pp. 25-30.
10. A. Beham, M. Kofler, S. Wagner, M. Affenzeller, H. Heiss, and M. Vorderwinkler, "Enhanced priority rule synthesis with waiting conditions," in 22nd European Modeling and Simulation Symposium EMSS 2010, 2010.
11. W. Banzhaf, P. Nordin, R. Keller, and F. Francone, Genetic Programming: An Introduction. Morgan Kaufmann, 1998.
12. J. R. Koza, Genetic Programming: On the Programming of Computers by Means of Natural Selection. MIT Press, 1992.
13. M. Affenzeller and S. Wagner, "Offspring selection: A new self-adaptive selection scheme for genetic algorithms," in Adaptive and Natural Computing Algorithms, ser. Springer Computer Series, B. Ribeiro, R. F. Albrecht, A. Dobnikar, D. W. Pearson, and N. C. Steele, Eds. Springer, 2005, pp. 218-221.
14. M. Affenzeller, S. Winkler, S. Wagner, and A. Beham, Genetic Algorithms and Genetic Programming - Modern Concepts and Practical Applications, ser. Numerical Insights. CRC Press, 2009.
15. S. Wagner, G. Kronberger, A. Beham, S. Winkler, and M. Affenzeller, "Modeling of heuristic optimization algorithms," in Proceedings of the 20th European Modeling and Simulation Symposium. DIPTEM University of Genova, 2008, pp. 106-111.
16. S. Wagner, "Heuristic optimization software systems - Modeling of heuristic optimization algorithms in the HeuristicLab software environment," Ph.D. dissertation, Johannes Kepler University, Linz, Austria, 2009.