Embedded evolvable fuzzy hardware systems for cell flow scheduling

Evolvable hardware (EHW) has become a promising branch of research in the area of hardware architecture. However, there remain many issues to be tackled before EHW can be applied more extensively in real-time problems. The three major open issues are on-line adaptation, scalability and evolution ter...

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Main Author: Li, Ju Hui
Other Authors: Lim Meng Hiot
Format: Theses and Dissertations
Published: 2008
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Online Access:https://hdl.handle.net/10356/4644
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-46442023-07-04T17:38:49Z Embedded evolvable fuzzy hardware systems for cell flow scheduling Li, Ju Hui Lim Meng Hiot School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Evolvable hardware (EHW) has become a promising branch of research in the area of hardware architecture. However, there remain many issues to be tackled before EHW can be applied more extensively in real-time problems. The three major open issues are on-line adaptation, scalability and evolution termination. In this thesis, we propose the concept of an intrinsic evolvable and on-line adaptive evolvable fuzzy hardware (EFH). Adopting our proposed EFH, the three major open problems can be addressed. In particular, EFH has great potential for solving real-time control problems efficiently. In order to demonstrate our idea, we apply the EFH to tackle the problem of ATM cell-scheduling. DOCTOR OF PHILOSOPHY (EEE) 2008-09-17T09:55:52Z 2008-09-17T09:55:52Z 2006 2006 Thesis Li, J. H. (2006). Embedded evolvable fuzzy hardware systems for cell flow scheduling. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/4644 10.32657/10356/4644 Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Li, Ju Hui
Embedded evolvable fuzzy hardware systems for cell flow scheduling
description Evolvable hardware (EHW) has become a promising branch of research in the area of hardware architecture. However, there remain many issues to be tackled before EHW can be applied more extensively in real-time problems. The three major open issues are on-line adaptation, scalability and evolution termination. In this thesis, we propose the concept of an intrinsic evolvable and on-line adaptive evolvable fuzzy hardware (EFH). Adopting our proposed EFH, the three major open problems can be addressed. In particular, EFH has great potential for solving real-time control problems efficiently. In order to demonstrate our idea, we apply the EFH to tackle the problem of ATM cell-scheduling.
author2 Lim Meng Hiot
author_facet Lim Meng Hiot
Li, Ju Hui
format Theses and Dissertations
author Li, Ju Hui
author_sort Li, Ju Hui
title Embedded evolvable fuzzy hardware systems for cell flow scheduling
title_short Embedded evolvable fuzzy hardware systems for cell flow scheduling
title_full Embedded evolvable fuzzy hardware systems for cell flow scheduling
title_fullStr Embedded evolvable fuzzy hardware systems for cell flow scheduling
title_full_unstemmed Embedded evolvable fuzzy hardware systems for cell flow scheduling
title_sort embedded evolvable fuzzy hardware systems for cell flow scheduling
publishDate 2008
url https://hdl.handle.net/10356/4644
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