Evolutionary Algorithms for Embedded System Design

  • Rolf Drechsler
  • Nicole Drechsler

Part of the Genetic Algorithms and Evolutionary Computation book series (GENA, volume 10)

Table of contents

  1. Front Matter
    Pages i-xxviii
  2. Joachim Wegener
    Pages 1-33
  3. Christian Haubelt, Sanaz Mostaghim, Frank Slomka, Jürgen Teich, Ambrish Tyagi
    Pages 63-104
  4. Fabrizio Ferrandi, Donatella Scutio, Alessandro Fin, Franco Fummi
    Pages 105-142
  5. Fulvio Corno, Matteo Sonza Reorda, Giovanni Squillero
    Pages 143-173
  6. Back Matter
    Pages 175-177

About this book


Evolutionary Algorithms for Embedded System Design describes how Evolutionary Algorithm (EA) concepts can be applied to circuit and system design - an area where time-to-market demands are critical. EAs create an interesting alternative to other approaches since they can be scaled with the problem size and can be easily run on parallel computer systems. This book presents several successful EA techniques and shows how they can be applied at different levels of the design process. Starting on a high-level abstraction, where software components are dominant, several optimization steps are demonstrated, including DSP code optimization and test generation. Throughout the book, EAs are tested on real-world applications and on large problem instances. For each application the main criteria for the successful application in the corresponding domain are discussed. In addition, contributions from leading international researchers provide the reader with a variety of perspectives, including a special focus on the combination of EAs with problem specific heuristics.

Evolutionary Algorithms for Embedded System Design is an excellent reference for both practitioners working in the area of circuit and system design and for researchers in the field of evolutionary concepts.


Embedded Systems System algorithms digital signal processor evolutionary algorithm genetic algorithms heuristics optimization

Editors and affiliations

  • Rolf Drechsler
    • 1
  • Nicole Drechsler
    • 1
  1. 1.University of BremenGermany

Bibliographic information

  • DOI
  • Copyright Information Kluwer Academic Publishers 2003
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-5362-1
  • Online ISBN 978-1-4615-1035-2
  • Series Print ISSN 1568-2587
  • Buy this book on publisher's site