Evolvable Machines

Theory & Practice

  • Nadia Nedjah
  • Luiza de Macedo Mourelle

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 161)

Table of contents

  1. Front Matter
    Pages I-XXV
  2. Evolvable Robots

    1. Front Matter
      Pages 1-1
    2. Yutaka Inoue, Takahiro Tohge, Hitoshi Iba
      Pages 3-20
    3. Michael Botros
      Pages 73-100
  3. Evolvable Hardware Synthesis

    1. Front Matter
      Pages 101-101
    2. Nadia Nedjah, Luiza Macedo de Mourelle
      Pages 103-127
    3. Zhun Fan, Jiachuan Wang, Kisung Seo, Jianjun Hu, Ronald Rosenberg, Janis Terpenny et al.
      Pages 129-149
    4. F. de Fernández Veja, J. I. Hidalgo, J. M. Sánchez, J. Lanchares
      Pages 151-177
  4. Evolvable Designs

  5. Back Matter
    Pages 257-260

About this book


Methods for the artificial evolution of active components, such as programs and hardware, are rapidly developing branches of adaptive computation and adaptive engineering. "Evolvable Machines" reports innovative and significant progress in automatic and evolutionary methodology applied to machine design. This book presents theoretical as well as practical chapters concentrating on Evolvable Robots, Evolvable Hardware Synthesis, as well as Evolvable Design.


Layer control design evolution evolutionary computation fuzzy genetic programming humanoid robot learning linear optimization microelectromechanical system (MEMS) programming proving robot robustness

Editors and affiliations

  • Nadia Nedjah
    • 1
  • Luiza de Macedo Mourelle
    • 1
  1. 1.Departamento de Engenharia de Sistemas e ComputaçãoUniversidade do Estado do Rio de JaneiroRio de Janeiro, RJBrazil

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2005
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-22905-6
  • Online ISBN 978-3-540-32364-8
  • Series Print ISSN 1434-9922
  • Buy this book on publisher's site