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Introduction to Evolutionary Computing

  • A. E. Eiben
  • J. E. Smith

Part of the Natural Computing Series book series (NCS)

Table of contents

  1. Front Matter
    Pages I-XV
  2. A. E. Eiben, J. E. Smith
    Pages 1-14
  3. A. E. Eiben, J. E. Smith
    Pages 15-35
  4. A. E. Eiben, J. E. Smith
    Pages 37-69
  5. A. E. Eiben, J. E. Smith
    Pages 71-87
  6. A. E. Eiben, J. E. Smith
    Pages 89-99
  7. A. E. Eiben, J. E. Smith
    Pages 101-114
  8. A. E. Eiben, J. E. Smith
    Pages 115-128
  9. A. E. Eiben, J. E. Smith
    Pages 129-151
  10. A. E. Eiben, J. E. Smith
    Pages 153-172
  11. A. E. Eiben, J. E. Smith
    Pages 173-188
  12. A. E. Eiben, J. E. Smith
    Pages 189-203
  13. A. E. Eiben, J. E. Smith
    Pages 205-220
  14. A. E. Eiben, J. E. Smith
    Pages 221-240
  15. A. E. Eiben, J. E. Smith
    Pages 241-258
  16. A. E. Eiben, J. E. Smith
    Pages 259-264
  17. A. E. Eiben, J. E. Smith
    Pages 265-265
  18. A. E. Eiben, J. E. Smith
    Pages 267-272
  19. Back Matter
    Pages 273-300

About this book

Introduction

Evolutionary Computing is the collective name for a range of problem-solving techniques based on principles of biological evolution, such as natural selection and genetic inheritance. These techniques are being increasingly widely applied to a variety of problems, ranging from practical applications in industry and commerce to leading-edge scientific research.

This book presents the first complete overview of this exciting field aimed directly at lecturers and graduate and undergraduate students. It is also meant for those who wish to apply evolutionary computing to a particular problem or within a given application area. To this group the book is valuable because it presents EC as something to be used rather than just studied.

Last, but not least, this book contains quick-reference information on the current state-of-the-art in a wide range of related topics, so it is of interest not just to evolutionary computing specialists but to researchers working in other fields.

Keywords

Evolution strategies Evolutionary computation Evolutionary computing Evolutionary programming algorithms evolutionary algorithm genetic algorithms genetic programming learning programming

Authors and affiliations

  • A. E. Eiben
    • 1
  • J. E. Smith
    • 2
  1. 1.Faculty of SciencesVrije Universiteit AmsterdamAmsterdamThe Netherlands
  2. 2.Faculty of Computing, Engineering and Mathematical SciencesUniversity of the West of EnglandBristolUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-662-05094-1
  • Copyright Information Springer-Verlag Berlin Heidelberg 2003
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-07285-7
  • Online ISBN 978-3-662-05094-1
  • Series Print ISSN 1619-7127
  • Buy this book on publisher's site