Overview
- Presents the recent developments in evolvable machine design
- Including evolvable robotics, evolvable hardware synthesis and evolvable design
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 161)
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Table of contents (10 chapters)
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Front Matter
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Evolvable Robots
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Front Matter
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Evolvable Designs
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Front Matter
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Back Matter
Keywords
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.
Reviews
From the reviews:
"Evolutionary algorithms are one of the very promising developments in Computer Science that can solve difficult problems … . The presented book is an excellent example for the successful application of these methods to the Design of Machines … . A very interesting book, highly recommendable for scientists interested in evolvable systems, but also for all scientists who have to solve special different problems in various application areas." (Christian Posthoff, Zentralblatt MATH, Vol. 1064, 2005)
Editors and Affiliations
Bibliographic Information
Book Title: Evolvable Machines
Book Subtitle: Theory & Practice
Editors: Nadia Nedjah, Luiza de Macedo Mourelle
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/3-540-32364-3
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2005
Hardcover ISBN: 978-3-540-22905-6Published: 05 October 2004
Softcover ISBN: 978-3-642-42151-8Published: 19 December 2014
eBook ISBN: 978-3-540-32364-8Published: 23 June 2006
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: XXV, 258
Topics: Mathematical and Computational Engineering, Control, Robotics, Mechatronics, Artificial Intelligence, Vibration, Dynamical Systems, Control, Complex Systems, Statistical Physics and Dynamical Systems