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Evolvable Hardware

From Practice to Application

  • Textbook
  • © 2015

Overview

Authors:
  1. Martin A. Trefzer

    1. Dept. of Electronics, University of York, Heslington, United Kingdom

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    You can also search for this author in PubMed   Google Scholar

  2. Andy M. Tyrrell

    1. Department of Electronics, University of York, Heslington, United Kingdom

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • 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)

  1. Front Matter

    Pages i-xxvii
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  2. Evolvable Hardware Practice

    1. Front Matter

      Pages 1-2
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    2. Evolution, Development and Evolvable Hardware

      • Andy M. Tyrrell, Martin A. Trefzer
      Pages 3-25

    3. Devices and Architectures for Evolutionary Hardware

      • Martin A. Trefzer, Andy M. Tyrrell
      Pages 27-87

    4. Representations and Algorithms

      • Andy M. Tyrrell, Martin A. Trefzer
      Pages 89-118

    5. Measurement and Fitness Function

      • Martin A. Trefzer, Andy M. Tyrrell
      Pages 119-149

  3. Evolvable Hardware Applications

    1. Front Matter

      Pages 151-152
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    2. Overcoming Variability Through Transistor Reconfiguration: Evolvable Hardware on the PAnDA Architecture

      • James A. Walker
      Pages 153-173

    3. Functional Equivalence Checking for Evolution of Complex Digital Circuits

      • Lukáš Sekanina, Zdeněk Vašíček
      Pages 175-189

    4. Fault Tolerant Applications

      • Andy M. Tyrrell
      Pages 191-207

    5. Principles and Applications of Polymorphic Circuits

      • Lukáš Sekanina
      Pages 209-224

    6. A Developmental Image Compression Technique Using Gene Regulatory Networks

      • Martin A. Trefzer
      Pages 225-252

    7. Medical Applications of Evolvable Hardware

      • Michael A. Lones, Stephen L. Smith
      Pages 253-271

    8. Metamorphic Systems: A Schema for Adaptive Autonomous Systems

      • Garrison W. Greenwood, Andy M. Tyrrell
      Pages 273-296

    9. Hierarchical Networks-on-Chip Architecture for Neuromorphic Hardware

      • Snaider Carrillo, Jim Harkin, Liam McDaid
      Pages 297-330

    10. Evolvable Robot Hardware

      • Alan F. T. Winfield, Jon Timmis
      Pages 331-348

    11. Developmental Evolvable Hardware

      • Pauline C. Haddow
      Pages 349-372

  4. Back Matter

    Pages 373-411
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Keywords

About this book

This book covers the basic theory, practical details and advanced research of the implementation of evolutionary methods on physical substrates. Most of the examples are from electronic engineering applications, including transistor-level design and system-level implementation. The authors present an overview of the successes achieved, and the book will act as a point of reference for both academic and industrial researchers.

Authors and Affiliations

  • Dept. of Electronics, University of York, Heslington, United Kingdom

    Martin A. Trefzer

  • 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.

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