An Improved Genetic Algorithm for the Distributed and Flexible Job-shop Scheduling problem

European Journal of Operational Research

Volumn 200, Issue 2, 2010, Pages 395-408

  De Giovanni, L ^a   Pezzella, F ^b  

^a UNIVERSITY OF PADOVA   (Italy)

^b UNIVERSITÀ POLITECNICA DELLE MARCHE   (Italy)

Author keywords

Distributed Job shop Scheduling; Flexible Manufacturing Systems; Genetic Algorithms

Indexed keywords

CROSSOVER AND MUTATION; DISTRIBUTED JOB; DISTRIBUTED JOB-SHOP SCHEDULING; DISTRIBUTED MANUFACTURING; DISTRIBUTED SCHEDULING; DISTRIBUTED SCHEDULING PROBLEM; FLEXIBLE JOB-SHOP SCHEDULING PROBLEM; FLEXIBLE MANUFACTURING; FLEXIBLE SCHEDULING; IMPROVED GENETIC ALGORITHMS; JOB-SHOP SCHEDULING; LOCAL SEARCH; MAKESPAN; OTHER ALGORITHMS; ROUTING FLEXIBILITY; ROUTINGS; SOLUTION REPRESENTATION;

FLEXIBLE MANUFACTURING SYSTEMS; GENE ENCODING; GENETIC ALGORITHMS; MATHEMATICAL OPERATORS; REAL TIME SYSTEMS; ROUTING ALGORITHMS;

SCHEDULING ALGORITHMS;

EID: 69249206751     PISSN: 03772217     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ejor.2009.01.008     Document Type: Article

References (33)

1. Baker J.E. Adaptive selection methods for genetic algorithms. Proceedings of the 1st International Conference on Genetic Algorithms (Mahwah, NJ, USA) (1985), Lawrence Erlbaum Associates, Inc. 101-111
2. J.W. Barnes, J.B. Chambers, Flexible job shop scheduling by tabu search, Graduate Program in Operations Research and Industrial Engineering, Technical Report Series ORP96-09, The University of Texas at Austin, 1996.
3. A.M. Barroso, J.R.A. Torreau, J.C.B. Leite, O.G. Loques, J.S. Fraga, A new technique for task allocation in real-time distributed systems, in: Proceedings of the 7th Brasilian Symposium of Fault Tolerant Computers, Campina Grande, Brazil, 1997, pp. 269-278.
4. Baykasoglu A. Linguistic-based meta-heuristic optimization model for flexible job shop scheduling. International Journal of Production Research 40 17 (2002) 4523-4543
5. Beasley D., Bull D., and Martin R.R. An overview of genetic algorithms: Part 1. Fundamentals, University Computing 15 2 (1993) 58-69
6. Brandimarte P. Routing and scheduling in a flexible job shop by tabu search. Annals of Operations Research 22 (1993) 158-183
7. Chan F.T.S., Chung S.H., Chan L.Y., Finke G., and Tiwari M.K. Solving distributed FMS scheduling problems subject to maintenance: Genetic algorithms approach. Robotics and Computer-Integrated Manufacturing 22 (2006) 493-504
8. Chan F.T.S., Chung S.H., and Chan P.L.Y. An adaptive genetic algorithm with dominated genes for distributed scheduling problems. Expert Systems with Applications 29 (2005) 364-371
9. Chan F.T.S., Chung S.H., and Chan P.L.Y. Application of genetic algorithms with dominated genes in a distributed scheduling problem in flexible manufacturing. International Journal of Production Research 44 3 (2006) 523-543
10. H. Chen, J. Ihlow, C. Lehmann, A genetic algorithm for flexible job-shop scheduling, in: IEEE International Conference on Robotics and Automation, Detroit, Michigan, 1999, pp. 1120-1125.
11. Choi I.C., and Choi D.S. A local search algorithm for jobshop scheduling problems with alternative operations and sequence-dependent setups. Computers and Industrial Engineering Archive 42 1 (2002) 43-58
12. Cicirello V.A., and Smith F.S. Wasp-like agents for distributed factory coordination. Autonomous Agents and Multi-Agent Systems 8 (2004) 237-266
13. Dauzère-Pérès S., and Paulli J. An integrated approach for modeling and solving the general multiprocessor job-shop scheduling problem using tabu search. Annals of Operations Research 70 (1997) 281-306
14. M. Di Natale, J.A. Stankovic, Applicability of simulated annealing methods to real time scheduling and jitter control, in: Proceedings of the 16th IEEE Real-Time Systems Symposium, Pisa, Italy, 1995, pp. 190-199.
15. Fisher H., and Thompson G.L. Probabilistic learning combinations of local job shop scheduling rules. In: Muth J.F., and Thompson G.L. (Eds). Industrial Scheduling (1963), Prentice-Hall, Englewood Cliffs, NJ 225-251
16. Garey M.R., Johnson D.S., and Sethi R. The complexity of flowshop and jobshop scheduling. Mathematics of Operations Research 1 (1976) 117-129
17. N.B. Ho, J.C. Tay, GENACE: An efficient cultural algorithm for solving the flexible job-shop problem, in: Proceedings of the IEEE Congress on Evolutionary Computation, 2004, pp. 1759-1766.
18. Hurink E., Jurisch B., and Thole M. Tabu search for the job shop scheduling problem with multi-purpose machines. Operations Research Spektrum 15 (1994) 205-215
19. Jia H.Z., Fuh J.Y.H., Nee A.Y.C., and Zhang Y.F. A modified genetic algorithm for distributed scheduling problems. Journal of Intelligent Manufacturing 15 (2003) 351-362
20. Kacem I., Hammadi S., and Borne P. Approach by localization and multiobjective evolutionary optimization for flexible job-shop scheduling problems. IEEE Transactions on Systems, Man and Cybernetics, Part C: Applications and Reviews 32 1 (2002) 1-13
21. S. Lawrence, Resource Constrained Project Scheduling: An Experimental Investigation of Heuristic Scheduling Techniques, Tech. Report, GSIA, Carnegie Mellon University, Pittsburgh, PA, 1984.
22. Lee D.Y., and Di Cesare F. Scheduling flexible manufacturing systems using Petri nets and heuristic search. IEEE Transactions on Robotics and Automation 10 2 (1994) 123-132
23. M. Mastrolilli, .
24. Mastrolilli M., and Gambardella L.M. Effective neighbourhood functions for the flexible job shop problem. Journal of Scheduling 3 (2000) 3-20
25. M. Mastrolilli, L.M. Gambardella, Effective neighbourhood functions for the flexible job shop problem: Appendix, Technical Report, IDSIA - Istituto Dalle Molle di Studi sull'Intelligenza Artificiale, 2000. Electronic version available at: .
26. Pezzella F., Morganti G., and Ciaschetti G. A genetic algorithm for the flexible job-shop scheduling problem. Computers and Operations Research 35 (2008) 3202-3212
27. Santos J., Ferro E., Orozco J., and Cayssials R. A realistic approach to the multitask-multiprocessor assignment problem using the empty-slots method and rate-monotonic scheduling. Journal of Real-time Systems 13 (1997) 167-199
28. M.J. Schniederjans, International Facility Acquisition and Location Analysis, Quorum Books, Westport, 1999.
29. Sule D.R. Logistics of Facility Location and Allocation (1999), Marcel Dekker Inc., New York, NY
30. Tay J.C., and Wibowo D. An effective chromosome representation for evolving flexible job shop schedules. GECCO. LNCS vol. 3103 (2004), Springer Verlag, Berlin 210-221
31. Tindell K.W., Burns A., and Wellings A.J. Allocating hard realtime tasks: A NP-hard problem made easy. Journal of Real-time Systems 4 (1992) 145-165
32. R.J.M. Vaessens, E.H.L. Aarts, J. Lenstra, Job shop Scheduling by Local Search, COSOR Memorandum 94-05, Eindhoven University of Technology, 1994.
33. Xia W., and Wu Z. An effective hybrid optimization approach for multi-objective flexible job-shop scheduling problems. Computers and Industrial Engineering Archive 48 2 (2005) 409-425