Springer celebrates 175 years of publishing excellence! Join us >>

Natural Computing Series

Introduction to Evolutionary Computing

Authors: Eiben, A.E., Smith, James E

  • New edition of well-established undergraduate textbook revised to offer an integrated view on evolution-based problem-solving algorithms
  • Includes a new chapter on evolutionary robotics
  • Combines chapters on parameter tuning and control with "how-to" chapters in a new book part dedicated to methodology
see more benefits

Buy this book

eBook 32,12 €
price for China (P.R.) (gross)
  • ISBN 978-3-662-44874-8
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 39,99 €
price for China (P.R.) (gross)
  • ISBN 978-3-662-44873-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover 39,99 €
price for China (P.R.) (gross)
  • ISBN 978-3-662-49985-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this Textbook

The overall structure of this new edition is three-tier: Part I presents the basics, Part II is concerned with methodological issues, and Part III discusses advanced topics. In the second edition the authors have reorganized the material to focus on problems, how to represent them, and then how to choose and design algorithms for different representations. They also added a chapter on problems, reflecting the overall book focus on problem-solvers, a chapter on parameter tuning, which they combined with the parameter control and "how-to" chapters into a methodological part, and finally a chapter on evolutionary robotics with an outlook on possible exciting developments in this field.

The book is suitable for undergraduate and graduate courses in artificial intelligence and computational intelligence, and for self-study by practitioners and researchers engaged with all aspects of bioinspired design and optimization.

About the authors

Prof. Gusz Eiben received his Ph.D. in Computer Science in 1991. He was among the pioneers of evolutionary computing research in Europe, and served in key roles in steering committees, program committees and editorial boards for all the major related events and publications. His main research areas focused on multiparent recombination, constraint satisfaction, and self-calibrating evolutionary algorithms; he is now researching broader aspects of embodied intelligence and evolutionary robotics.

Prof. James E. Smith received his Ph.D. in Computer Science in 1998. He is an associate professor of Interactive Artificial Intelligence and Head of the Artificial Intelligence Research Group in the Dept. of Computer Science and Creative Technologies of The University of the West of England, Bristol. His work has combined theoretical modelling with empirical studies in a number of areas, especially concerning self-adaptive and hybrid systems that "learn how to learn". His current research interests include optimization; machine learning and classification; memetic algorithms; statistical disclosure control; VLSI design verification; adaptive image segmentation and classification and computer vision systems for production quality control; and bioinformatics problems such as protein structure prediction and protein structure comparison.

Reviews

“This book aims to give a thorough introduction to evolutionary computing, covering techniques and methodological issues. … the book does a good job of giving a general overview of the field. It assumes very little initial knowledge and the breath of its coverage is very impressive. … the supporting website does contain suggested further reading for each of the chapters.” (Barry Wilkes, bcs The Chartered Institute for IT, bcs.org, May, 2016)

“This second edition of the book under review is very timely and corresponds to Evolutionary Computation (EC)’s status as an established methodology. … The chapter subdivision into different algorithms used in the first edition … has been replaced by a more suitable student/researcher-oriented approach; this is also supported by the website www.evolutionarycomputation.org, which contains a trove of exercises, slides and extra bibliographic references.” (Anna I. Esparcia-Alcázar, Mathematical Reviews, May, 2016)

“Introduction to Evolutionary Computing is an excellent and readable text that should find a place on the bookshelf of anyone who researches and/or teaches in this domain. Suitable for a graduate course or upper-level undergraduate course in Evolutionary Computing, it is also a superior and well-organized reference book. … papers and presentations cited in the text provide a marvelous literature review. … The clarity of exposition and detail are excellent … .” (Jeffrey L. Popyack, Genetic Programming and Evolvable Machines, Vol. 17 (2), 2016)


Table of contents (17 chapters)

  • Problems to Be Solved

    Eiben, A. E. (et al.)

    Pages 1-12

    Preview Buy Chapter 24,95 €
  • Evolutionary Computing: The Origins

    Eiben, A. E. (et al.)

    Pages 13-24

    Preview Buy Chapter 24,95 €
  • What Is an Evolutionary Algorithm?

    Eiben, A. E. (et al.)

    Pages 25-48

    Preview Buy Chapter 24,95 €
  • Representation, Mutation, and Recombination

    Eiben, A. E. (et al.)

    Pages 49-78

    Preview Buy Chapter 24,95 €
  • Fitness, Selection, and Population Management

    Eiben, A. E. (et al.)

    Pages 79-98

    Preview Buy Chapter 24,95 €

Buy this book

eBook 32,12 €
price for China (P.R.) (gross)
  • ISBN 978-3-662-44874-8
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 39,99 €
price for China (P.R.) (gross)
  • ISBN 978-3-662-44873-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover 39,99 €
price for China (P.R.) (gross)
  • ISBN 978-3-662-49985-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Introduction to Evolutionary Computing
Authors
Series Title
Natural Computing Series
Copyright
2015
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
Distribution Rights
Distribution rights for India: Researchco Book Centre, New Delhi, India
eBook ISBN
978-3-662-44874-8
DOI
10.1007/978-3-662-44874-8
Hardcover ISBN
978-3-662-44873-1
Softcover ISBN
978-3-662-49985-6
Series ISSN
1619-7127
Edition Number
2
Number of Pages
XII, 287
Number of Illustrations and Tables
55 b/w illustrations, 12 illustrations in colour
Topics