Skip to main content
SpringerLink
Log in

Towards Evolvable Hardware

The Evolutionary Engineering Approach

  • Conference proceedings
  • © 1996

Overview

Editors:
  1. Eduardo Sanchez
    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Marco Tomassini
    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1062)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (11 papers)

  1. Front Matter

    Download chapter PDF

  2. Field programmable gate array (FPGA) circuits

    • Eduardo Sanchez
    Pages 1-18

  3. Evolutionary algorithms

    • M. Tomassini
    Pages 19-47

  4. Artificial cellular development in optimization and compilation

    • Frédéric Gruau
    Pages 48-75

  5. CAM-Brain the evolutionary engineering of a billion neuron artificial brain by 2001 which grows/evolves at electronic speeds inside a cellular automata machine (CAM)

    • Hugo de Garis
    Pages 76-98

  6. Morphogenesis for evolvable systems

    • Hiroaki Kitano
    Pages 99-117

  7. Evolvable Hardware and its application to pattern recognition and fault-tolerant systems

    • Tetsuya Higuchi, Masaya Iwata, Isamu Kajitani, Hitoshi Iba, Yuji Hirao, Tatsumi Furuya et al.
    Pages 118-135

  8. Unconstrained evolution and hard consequences

    • Adrian Thompson, Inman Harvey, Philip Husbands
    Pages 136-165

  9. Embryonics: The birth of synthetic life

    • Pierre Marchal, Pascal Nussbaum, Christian Piguet, Serge Durand, Daniel Mange, Eduardo Sanchez et al.
    Pages 166-196

  10. Embryonics: A new family of coarse-grained field-programmable gate array with self-repair and self-reproducing properties

    • Daniel Mange, Maxime Goeke, Dominik Madon, André Stauffer, Gianluca Tempesti, Serge Durand
    Pages 197-220

  11. Evolution and mobile autonomous robotics

    • Francesco Mondada, Dario Floreano
    Pages 221-249

  12. Development and evolution of hardware behaviors

    • Hitoshi Hemmi, Jun'ichi Mizoguchi, Katsunori Shimohara
    Pages 250-265

  13. Back Matter

    Download chapter PDF
Back to top

Keywords

About this book

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.

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation