Dynamic hard-real-time scheduling using genetic algorithm for multiprocessor task with resource and timing constraints

Expert Systems with Applications

Volumn 36, Issue 1, 2009, Pages 852-860

  Cheng, Shu Chen ^b   Shiau, Der Fang ^a   Huang, Yueh Min ^a   Lin, Yen Ting ^a  

^a NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

^b SOUTHERN TAIWAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

Author keywords

Dynamic scheduling; Genetic algorithm; Multiprocessor task; Optimization

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; DIESEL ENGINES; GENE EXPRESSION; GENETIC ALGORITHMS; MULTIPROCESSING SYSTEMS; NUCLEAR PROPULSION; SCHEDULING; TIME MEASUREMENT; TIMING CIRCUITS; TREES (MATHEMATICS);

DYNAMIC SCHEDULING; GENETIC ALGORITHM; MULTIPROCESSOR TASK; OPTIMIZATION;

PROBLEM SOLVING;

EID: 53849105111     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2007.10.037     Document Type: Article

References (30)

1. Brucker P., Knust S., Roper D., and Zinder Y. Scheduling UET tasks systems with concurrency on two parallel identical processors. Mathematical Methods of Operations Research 52 3 (2000) 369-387
2. Brucker P., and Kramer A. Shop scheduling problems with multiprocessor tasks on dedicated processors. Annals of Operations Research 57 (1995) 13-27
3. Brucker P., and Kramer A. Polynomial algorithms for resource-constrained and multiprocessor task scheduling problems. European Journal of Operational Research 90 (1996) 214-226
4. Chang P.C., Chen S.H., and Lin K.L. Two-phase population genetic algorithm for parallel machine-scheduling problem. Expert Systems with Applications 29 3 (2005) 705-712
5. Chen J., and Lee C.Y. General multiprocessor task scheduling. Naval Research Logistics 46 (1999) 57-74
6. Chen R.M., and Huang Y.M. Competitive neural network to solve scheduling problems. Neurocomputing 37 (2001) 177-196
7. Chen R.M., and Huang Y.M. Multiprocessor task assignment with fuzzy hopfield neural network clustering technique. Neural Computing and Applications 10 (2001) 12-21
8. Chen R.M., Lo S.T., and Huang Y.M. Combining competitive scheme with slack neurons to solve real-time job scheduling problem. Expert Systems with Applications 33 1 (2007) 75-85
9. Church L.K., and Uzsoy R. Analysis of periodic and event-driven rescheduling policies in dynamic shops. International Journal of Computer Integrated Manufacturing 5 3 (1992) 153-163
10. Correa R.C., Ferreira A., and Rebreyend P. Scheduling multiprocessor tasks with genetic algorithms. IEEE Transactions on Parallel and Distributed Systems 10 8 (1999) 825-837
11. Dorndorf U., and Pesch E. Evolution based learning in a job shop problem. Computers and Operations Research 22 (1995) 25-40
12. Drozdowski M. Scheduling multiprocessor tasks - An overview. European Journal of Operational Research 94 (1996) 215-230
13. Drozdowski, M. (1997). Selected problems of scheduling tasks in multiprocessor computer systems. Monograph No. 321, Poznan University of Technology Press.
14. Du J., and Leung J.Y.-T. Complexity of scheduling parallel task systems. SIAM Journal on Discrete Mathematics 2 (1989) 473-487
15. Ercan, M. F., Fung, Y. F. (1999). Real-time image interpretation on a multi-layer architecture. In Proceedings of the IEEE TENCON'99 (pp. 1303-1306).
16. Hajri S., Liouane N., Hammadi S., and Borne P. A controlled genetic algorithm by fuzzy logic and belief functions for job-shop scheduling. IEEE Transactions on Systems, Man and Cybernetics-Part B: Cybernetics 30 5 (2000) 812-818
17. Holland J.H. Adaptation in natural and artificial systems. 1st ed. (1992), MIT Press, Massachusetts
18. Holloway C.A., and Nelson R.T. Job shop scheduling with due dates and variable processing times. Management Science 20 9 (1974) 1264-1275
19. Huang Y.M., and Chen R.M. Scheduling multiprocessor job with resource and timing constraints using neural networks. IEEE Transactions on Systems, Man and Cybernetics-Part B: Cybernetics 29 4 (1999) 4902-4905
20. Krawczyk H., and Kubale M. An approximation algorithm for diagnostic test scheduling in multicomputer systems. IEEE Transaction on Computers 34 (1985) 869-872
21. Lee C.Y., Lei L., and Pinedo M. Current trends in deterministic scheduling. Annals of Operations Research 70 (1997) 1-41
22. Liu S.Q., Ong H.L., and Ng K.M. Metaheuristics for minimizing the makespan of the dynamic shop scheduling problem. Advances in Engineering Software 36 (2005) 199-205
23. Lo, S. T., Chen, R. M., Huang, Y. M., Wu, C. L. (2007). Multiprocessor system scheduling with precedence and resource constraints using an enhanced ant colony system. Expert Systems with Applications, doi:10.1016/j.eswa.2007.02.022.
24. Michalewicz Z. Genetic algorithms + data structures = evolution programs. 3rd ed. (1999), Springer pp. 13-44
25. Muhleman A.P., Lockett A.G., and Farn C.K. Job shop scheduling heuristics and frequency of scheduling. International Journal of Production Research 20 2 (1982) 227-241
26. Oǧuz C., and Ercan M. A genetic algorithm for hybrid flow-shop scheduling with multiprocessor tasks. Journal of Scheduling 8 4 (2005) 323-351
27. Şerifoǧlu F.S., and Ulusoy G. Multiprocessor task scheduling in multistage hybrid flow-shops: A genetic algorithm approach. Journal of the Operational Research Society 55 5 (2004) 504-512
28. Subramaniam V., Lee G.K., Ramesh T., Hong G.S., and Wong Y.S. Machine selection rules in a dynamic job shop. International Journal of Advanced Manufacturing Technology 16 (2000) 902-908
29. Yang J.B. GA-based discrete dynamic programming approach for scheduling in FMS environments. IEEE Transactions on Systems, Man and Cybernetics-Part B: Cybernetics 31 5 (2001) 824-835
30. Wang H. Flexible flow shop scheduling: Optimum, heuristics and artificial intelligence solutions. Expert Systems 22 2 (2005) 78-85