Evolvable Hardware | From Practice to Application

Martin A. Trefzer (u. a.)

ISBN 10: 3662516977 / ISBN 13: 9783662516973

Published by Springer, 2016

About this Item

Evolvable Hardware | From Practice to Application | Martin A. Trefzer (u. a.) | Taschenbuch | xxvii | Englisch | 2016 | Springer | EAN 9783662516973 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 107672494

Bibliographic Details

• Title: Evolvable Hardware | From Practice to Application
• Publisher: Springer
• Publication Date: 2016
• Language: English
• ISBN 10: 3662516977
• ISBN 13: 9783662516973
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 24D millimeters 235 millimeters width by 155 millimeters height by 24 millimeters depth
• Weight: 663 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

This book covers the basic theory, practical details and advanced research of the implementation of evolutionary methods on physical substrates. Most of the examples are from electronic engineering applications, including transistor-level design and system-level implementation. The authors present an overview of the successes achieved, and the book will act as a point of reference for both academic and industrial researchers.

About the Author

Dr. Martin A. Trefzer received his PhD from the University of Heidelberg where he worked on the evolution of transistor circuits. He is an Anniversary Research Lecturer at the Dept. of Electronics at the University of York working on using bio-inspired techniques to create scalable, fault-tolerant, adaptive and autonomous digital systems. His research interests include variability-aware analogue and digital hardware design, biologically motivated models of hardware design, and evolutionary computation.

Prof. Andy M. Tyrrell has a PhD in Electrical and Electronic Engineering, and has been with the Dept. of Electronics at the University of York since 1990 where he is the Head of the Intelligent Systems Research Group. His main research interests are in the design of biologically inspired architectures, artificial immune systems, evolvable hardware, FPGA system design, fault-tolerant design, and real-time systems.