© 2015

Evolvable Hardware

From Practice to Application


Part of the Natural Computing Series book series (NCS)

Table of contents

  1. Front Matter
    Pages i-xxvii
  2. Evolvable Hardware Practice

    1. Front Matter
      Pages 1-2
    2. Andy M. Tyrrell, Martin A. Trefzer
      Pages 3-25
    3. Martin A. Trefzer, Andy M. Tyrrell
      Pages 27-87
    4. Andy M. Tyrrell, Martin A. Trefzer
      Pages 89-118
    5. Martin A. Trefzer, Andy M. Tyrrell
      Pages 119-149
  3. Evolvable Hardware Applications

    1. Front Matter
      Pages 151-152
    2. Lukáš Sekanina, Zdeněk Vašíček
      Pages 175-189
    3. Andy M. Tyrrell
      Pages 191-207
    4. Michael A. Lones, Stephen L. Smith
      Pages 253-271
    5. Garrison W. Greenwood, Andy M. Tyrrell
      Pages 273-296
    6. Snaider Carrillo, Jim Harkin, Liam McDaid
      Pages 297-330
    7. Alan F. T. Winfield, Jon Timmis
      Pages 331-348
    8. Pauline C. Haddow
      Pages 349-372
  4. Back Matter
    Pages 373-411

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.


Adaptive hardware Developmental Systems Evolutionary computing Evolvable hardware FPGAs

Authors and affiliations

  1. 1.Dept. of ElectronicsUniversity of YorkHeslingtonUnited Kingdom
  2. 2.Department of ElectronicsUniversity of YorkHeslingtonUnited Kingdom

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

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