Table of contents

  1. Front Matter
  2. M. Tomassini
    Pages 19-47
  3. Hiroaki Kitano
    Pages 99-117
  4. Tetsuya Higuchi, Masaya Iwata, Isamu Kajitani, Hitoshi Iba, Yuji Hirao, Tatsumi Furuya et al.
    Pages 118-135
  5. Adrian Thompson, Inman Harvey, Philip Husbands
    Pages 136-165
  6. Pierre Marchal, Pascal Nussbaum, Christian Piguet, Serge Durand, Daniel Mange, Eduardo Sanchez et al.
    Pages 166-196
  7. Daniel Mange, Maxime Goeke, Dominik Madon, André Stauffer, Gianluca Tempesti, Serge Durand
    Pages 197-220
  8. Francesco Mondada, Dario Floreano
    Pages 221-249
  9. Hitoshi Hemmi, Jun'ichi Mizoguchi, Katsunori Shimohara
    Pages 250-265
  10. Back Matter

About these proceedings


Evolutionary computing, inspired by the biological world, is one of the emergent technologies of our time. Being essentially a software activity, it has been successfully applied, e.g. for optimization and machine learning in various areas. The tremendous increase in computational power and, more recently, the appearance of a new generation of programmable logic devices allow for a new approach to designing computing machines inspired by biological models: it is now possible to make the hardware itself evolve.
This book is based on a workshop on evolvable hardware, held in Lausanne, Switzerland, in October 1995. It reports the state of the art of research in this field and presents two introductory chapters, written with the novice reader in mind.


Anwenderprogrammierbare Systemkomponenten Digital Systems Design Entwickelbare Hardware Entwurfdigitale Systeme Evolutionary Algorithms Evolutionary Engineering Evolutionäre Algorithmen Evolvable Hardware Field-Programmable Circuits learning logic machine learning optimization

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 1996
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-61093-9
  • Online ISBN 978-3-540-49947-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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