Li, J. H., Lim, M. H., Ong, Y. S. and Cao, Q. (2007) Evolvable fuzzy scheduling scheme for multiple-channel packet switching network. In: Dahal, K. P., Tan, K. C. and Cowling, P. I. (eds.) Evolutionary Scheduling. Series: Studies in computational intelligence (49). Springer: Berlin, pp. 383-403. ISBN 9783540485827 (doi: 10.1007/978-3-540-48584-1_14)
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Abstract
Evolvable fuzzy system (EFS) relies on dynamic adaptation of the heuristics which are coded as fuzzy rules. If the mechanisms for fuzzy inferencing are realized in hardware within the framework of the EFS in order to satisfy the time-critical requirement of the application, the system can be regarded as a form of evolvable fuzzy hardware. This chapter considers the application of evolutionary fuzzy system for cell scheduling in ATM network. Besides being able to adapt to the changing environment, the EFS also enjoys a special property whereby the cell delay can be conveniently adjusted by explicitly tuning a parameter in the fitness function. In this chapter, we explore the application of EFS to solve multiple channel scheduling. We show that any number of input channels can be accommodated while still preserving the special advantages of the EFS.
| Item Type: | Book Sections |
|---|---|
| Status: | Published |
| Glasgow Author(s) Enlighten ID: | Cao, Dr Qi |
| Authors: | Li, J. H., Lim, M. H., Ong, Y. S., and Cao, Q. |
| College/School: | College of Science and Engineering > School of Computing Science |
| Publisher: | Springer |
| ISBN: | 9783540485827 |
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