Asian Journal of Information Technology
Year:
2016
Volume:
15
Issue:
18
Page No.
3487 - 3500
Hybrid Optimization Techniques for Fuzzy Logic Controller Design in Parallel Job Scheduling Problems
Authors :
S.V.Sudha
References
Bonarini, A., 1996. Evolutionary Learning of Fuzzy Rules Competition and Cooperation. In: Fuzzy Modelling: Paradigms and Practice, Pedrycz, W. (Ed.). Kluwer Academic Press, Hebei, China, pp: 265-284.
Dutot, P.F., F. Pascual, K. Rzadca and D. Trystram, 2011. Approximation algorithms for the multiorganization scheduling problem. IEEE. Trans. Parallel Distrib. Syst., 22: 1888-1895.
CrossRef | Direct Link | Frachtenberg, E., G. Feitelson, F. Petrini and J. Fernandez, 2005. Adaptive parallel job scheduling with flexible coscheduling. IEEE. Trans. Paral. Distrib. Syst., 16: 1066-1077.
CrossRef | Direct Link | Moratori, P., S. Petrovic and R.J.A. Vazquez, 2010. Fuzzy approaches for robust job shop rescheduling. Proceedings of the 2010 IEEE International Conference on Fuzzy Systems (FUZZ), July 18-23, 2010, IEEE, New York, USA., ISBN:978-1-4244-6919-2, pp: 1-7.
Smith, S.F., 1980. A learning system based on genetic adaptive algorithms. Ph.D Thesis, Department of Computer Science, University of Pittsburgh, Pennsylvania.
Sun, H., O.Y. Ca and W.J. Hsu, 2011. Effective adaptive scheduling of multiprocessor with stable parallelism feedback. Parall. Distrib. Syst. IEEE. Trans., 22: 594-607.