Introduction to Evolutionary Computing (Natural Computing Series)

3.7 out of 5 stars 16 ratings
ISBN-13: 978-3642072857
ISBN-10: 3642072852
Why is ISBN important?
This bar-code number lets you verify that you're getting exactly the right version or edition of a book. The 13-digit and 10-digit formats both work.
Scan an ISBN with your phone
Use the Amazon App to scan ISBNs and compare prices.
Have one to sell?
Loading your book clubs
There was a problem loading your book clubs. Please try again.
Not in a club? Learn more
Amazon book clubs early access

Join or create book clubs

Choose books together

Track your books
Bring your club to Amazon Book Clubs, start a new book club and invite your friends to join, or find a club that’s right for you for free.
Used: Like New | Details
Sold by tabletopart
Condition: Used: Like New
Comment: This Book is delivered by Media mail which may take upto 9-15 for delivery. Please be patient during the delivery window.
Access codes and supplements are not guaranteed with used items.
1 used from $54.97
+ $3.99 shipping
Usually ships within 3 days.
Ships from and sold by
Available at a lower price from other sellers that may not offer free Prime shipping.
Arrives: Oct 7 - 8 Details
Fastest delivery: Oct 1 - 2
3 new from $43.00
& FREE Shipping. Details

Introduction to Evolution... has been added to your Cart

Available at a lower price from other sellers that may not offer free Prime shipping.

There is a newer edition of this item:

Limited time deal: Save up to 40% on over 150 great reads pantry

click to open popover

Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required.

  • Apple
  • Android
  • Windows Phone
    Windows Phone
  • Click here to download from Amazon appstore

To get the free app, enter your mobile phone number.


Special offers and product promotions

Editorial Reviews


From the reviews:

"This is intended primarily as a textbook for lecturers and graduate and undergraduate students but will certainly attract a wider readership. The authors explain that each of them has many years of teaching experience, and has given instruction on Evolutionary Computing (EC) … and they realised the need for a suitable textbook and decided to write this one. … Beside serving as an introduction the book is a guide to the state-of-the art. … This is a well-produced and very useful book." (Alex M. Andrew, Robotica, Vol. 22, 2004)

About the Author

A.E. Eiben (M.Sc in Maths 1985, Ph.D. in computer science 1991) is one of the European early birds of EC, his first EC paper is dating back to 1989. This was a technical report on Markov chain convergence properties of GAs, that was published in the proceedings of the first European EC conference, the PPSN 1990. Ever since he has been active in the field with special interest in multi-parent recombination, constraint satisfaction, and self-calibrating evolutionary algorithms. During the last decade he was chair or member of the organizing committee of almost all major events of the field: CEC, EP, FOGA, GECCO, PPSN and is a member of the PPSN Steering Committee. Currently he is an editorial board member of premium EC and EC-related jorunals: Evolutionary Computing, Genetic Programming and Evolvable Machines, IEEE Transactions on Evolutionary Computation, Applied Soft Computing, and Natural Computing. Furthermore, he is one of the founders and the executive board members of the European Network of Excellence in Evolutionary Computing, EvoNet. He is one of the series editors of the Springer book series Natural Computing. His also has almost ten years of teaching experience, having given academic and industrial EC courses and organising European EC Summer Schools.

J.E. Smith (Msc. Communicating Computer Systems 1993, PhD in computer science 1998) has been actively researching and publishing on the field of EC since 1994. His work has combined theoretical modelling with empirical studies in a number of areas, especially concerning so-called "self-adaptive" and "hybrid" systems which exhibit the common characteristic of being able to "learn how to learn". This research has been backed up with industrial collaborations applying EC-based (and other) techniques to a range of diverse problems such as VLSI verification and bio-informatics. For a number of years he has served on the programme committees of all of the major (and many smaller) conferences in the field, and as a reviewer for all of the principal journals. Since 2000 he has been one of the co-organisers of the annual International Workshop on Memetic Algorithms (WOMA). In addition to teaching courses in Evolutionary Computing in academia and industry, he has been a member of the Training Committee of the European Network of Excellence in Evolutionary Computing, EvoNet, since its formation and as such has been heavily involved in the production of a variety of different training materials for the EvoNet "flying circus".

Product details

  • Item Weight : 1.19 pounds
  • Paperback : 300 pages
  • ISBN-10 : 3642072852
  • ISBN-13 : 978-3642072857
  • Product Dimensions : 6.1 x 0.75 x 9.25 inches
  • Publisher : Springer (December 1, 2010)
  • Language: : English
  • Customer Reviews:
    3.7 out of 5 stars 16 ratings