Evolvable Hardware

  • Tetsuya Higuchi
  • Yong Liu
  • Xin Yao

Part of the Genetic and Evolutionary Computation book series (GEVO)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Tetsuya Higuchi, Yong Liu, Masaya Iwata, Xin Yao
    Pages 1-17
  3. Hidenori Sakanashi, Masaya Iwata, Tetsuya Higuchi
    Pages 19-40
  4. Isamu Kajitani, Masaya Iwata, Tetsuya Higuchi
    Pages 41-63
  5. Eiichi Takahashi, Yuji Kasai, Masahiro Murakawa, Tetsuya Higuchi
    Pages 65-84
  6. Daniel Mange, André Stauffer, Gianluca Tempesti, Fabien Vannel, André Badertscher
    Pages 85-98
  7. Masahiro Murakawa, Yuji Kasai, Hidenori Sakanashi, Tetsuya Higuchi
    Pages 121-143
  8. Adrian Stoica, Didier Keymeulen, Ricardo S. Zebulum, Xin Guo
    Pages 145-160
  9. Ricardo S. Zebulum, Didier Keymeulen, Rajeshuni Ramesham, Lukas Sekanina, James Mao, Nikhil Kumar et al.
    Pages 161-172
  10. John R. Koza, Martin A. Keane, Matthew J. Streeter, Sameer H. Al-Sakran, Lee W. Jones
    Pages 173-197
  11. Hirokazu Nosato, Masahiro Murakawa, Yuji Kasai, Tetsuya Higuchi
    Pages 199-207
  12. Didier Keymeulen, Michael I. Ferguson, Luke Breuer, Wolfgang Fink, Boris Oks, Chris Peay et al.
    Pages 209-222
  13. Back Matter
    Pages 223-224

About this book

Introduction

Evolvable hardware (EHW) refers to hardware whose architecture/structure and functions change dynamically and autonomously in order to improve its performance in carrying out tasks. The emergence of this field has been profoundly influenced by the progress in reconfigurable hardware and evolutionary computation. Traditional hardware can be inflexible—the structure and its functions are often impossible to change once it is created. However, most real world problems are not fixed—they change with time. In order to deal with these problems efficiently and effectively, different hardware structures are necessary. EHW provides an ideal approach to make hardware "soft" by adapting the structure to a problem dynamically.

The contributions in this book provide the basics of reconfigurable devices so that readers will be fully prepared to understand what EHW is, why it is necessary and how it is designed. The book also discusses the leading research in digital, analog and mechanical EHW. Selections from leading international researchers offer examples of cutting-edge research and applications, placing particular emphasis on their practical usefulness.

Professionals and students in the field of evolutionary computation will find this a valuable comprehensive resource which provides both the fundamentals and the latest advances in evolvable hardware.

Keywords

Algorithms Hardware algorithm electronics genetic algorithms genetic programming programming system

Editors and affiliations

  • Tetsuya Higuchi
    • 1
  • Yong Liu
    • 2
  • Xin Yao
    • 3
  1. 1.National Institute of Advanced Industrial Science and TechnologyJapan
  2. 2.The University of AizuJapan
  3. 3.The Universtiy of BirminghamUK

Bibliographic information

  • DOI https://doi.org/10.1007/0-387-31238-2
  • Copyright Information Springer Science+Business Media, LLC. 2006
  • Publisher Name Springer, Boston, MA
  • eBook Packages Computer Science
  • Print ISBN 978-0-387-24386-3
  • Online ISBN 978-0-387-31238-5
  • Series Print ISSN 1932-0167
  • About this book