Evolvable fuzzy hardware for real-time embedded control in packet switching

Li, J. H., Lim, M. H. and Cao, Q. (2005) Evolvable fuzzy hardware for real-time embedded control in packet switching. In: Nedjah, N. and Macedo Mourelle, L. d. (eds.) Evolvable Machines: Theory and Practice. Series: Studies in fuzziness and soft computing (161). Springer: Berlin, pp. 205-227. ISBN 9783540229056 (doi:10.1007/3-540-32364-3_9)

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In this chapter, we describe a scheme to realize an Evolvable Fuzzy Hardware (EFH) for real-time Packet Switching problem. The common challenges of Evolvable hardware (EHW) implementation are issues pertaining to online adaptation, scalability and termination of evolution [I]. The proposed EFH addresses these issues effectively. A very interesting advantage of the proposed EFH is that the system performance can be tuned intuitively through parametric adjustment of the fitness function. This advantage gives the EFH system a very special property that conventional scheduling methods cannot fulfill easily. For the hardware implementation of the EFH, real-time fuzzy inference with high-speed context switching capability is necessary. We address this aspect through implementation based on a context independent reconfigurable fuzz9 inference chip (RFIC).

Item Type:Book Sections
Glasgow Author(s) Enlighten ID:Cao, Dr Qi
Authors: Li, J. H., Lim, M. H., and Cao, Q.
College/School:College of Science and Engineering > School of Computing Science

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