Authors:
- Authors among the leading researchers and practitioners in this field
- First part of the book is a comprehensive introduction to evolvable hardware
- Second part of the book presents state-of-the-art application of evolvable Hardware
- Includes supplementary material: sn.pub/extras
Part of the book series: Natural Computing Series (NCS)
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Table of contents (14 chapters)
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Front Matter
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Evolvable Hardware Practice
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Front Matter
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Evolvable Hardware Applications
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Front Matter
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Back Matter
About this book
Authors and Affiliations
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Dept. of Electronics, University of York, Heslington, United Kingdom
Martin A. Trefzer
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Department of Electronics, University of York, Heslington, United Kingdom
Andy M. Tyrrell
About the authors
Dr. Martin A. Trefzer received his PhD from the University of Heidelberg where he worked on the evolution of transistor circuits. He is an Anniversary Research Lecturer at the Dept. of Electronics at the University of York working on using bio-inspired techniques to create scalable, fault-tolerant, adaptive and autonomous digital systems. His research interests include variability-aware analogue and digital hardware design, biologically motivated models of hardware design, and evolutionary computation.
Prof. Andy M. Tyrrell has a PhD in Electrical and Electronic Engineering, and has been with the Dept. of Electronics at the University of York since 1990 where he is the Head of the Intelligent Systems Research Group. His main research interests are in the design of biologically inspired architectures, artificial immune systems, evolvable hardware, FPGA system design, fault-tolerant design, and real-time systems.
Bibliographic Information
Book Title: Evolvable Hardware
Book Subtitle: From Practice to Application
Authors: Martin A. Trefzer, Andy M. Tyrrell
Series Title: Natural Computing Series
DOI: https://doi.org/10.1007/978-3-662-44616-4
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2015
Hardcover ISBN: 978-3-662-44615-7Published: 24 September 2015
Softcover ISBN: 978-3-662-51697-3Published: 29 October 2016
eBook ISBN: 978-3-662-44616-4Published: 14 September 2015
Series ISSN: 1619-7127
Series E-ISSN: 2627-6461
Edition Number: 1
Number of Pages: XXVII, 411
Number of Illustrations: 109 b/w illustrations, 78 illustrations in colour
Topics: Artificial Intelligence, Computational Intelligence, Algorithm Analysis and Problem Complexity, Computer Hardware