<Embed>
Buy used:
$15.79
FREE Shipping on your first order. Details
Condition: Used: Good
Have one to sell?
Flip to back Flip to front
Listen Playing... Paused   You're listening to a sample of the Audible audio edition.
Learn more
See all 3 images

Follow the Authors

Something went wrong. Please try your request again later.


Introduction to Evolutionary Computing (Natural Computing Series) Hardcover – October 7, 2008

3.5 out of 5 stars 15 ratings

See all formats and editions Hide other formats and editions
Price
New from Used from
Kindle
Hardcover
$97.37
Hardcover, October 7, 2008
$15.79
$124.73 $1.48

Black lives matter. Books to read right now.
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
    Apple
  • Android
    Android
  • Windows Phone
    Windows Phone
  • Click here to download from Amazon appstore
    Android

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

kcpAppSendButton

Special offers and product promotions

Editorial Reviews

Review

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

Customer reviews

3.5 out of 5 stars
3.5 out of 5
15 customer ratings
How does Amazon calculate star ratings?
Reviewed in the United States on November 14, 2013
Verified Purchase
Reviewed in the United States on June 1, 2014
Verified Purchase
Reviewed in the United States on January 13, 2015
Verified Purchase
Reviewed in the United States on August 11, 2014
Verified Purchase
Reviewed in the United States on November 5, 2013
Verified Purchase
Reviewed in the United States on August 25, 2013
Verified Purchase
Reviewed in the United States on April 3, 2006
21 people found this helpful
Comment Report abuse
Reviewed in the United States on June 5, 2004
11 people found this helpful
Comment Report abuse

Top international reviews

Amazon Customer
3.0 out of 5 stars Some formulas are unreadable on Kindle version
Reviewed in the United Kingdom on April 20, 2014
Verified Purchase
Sending feedback...
Thank you for your feedback.
Report abuse
Cliente Amazon
3.0 out of 5 stars Libro demasiado académico
Reviewed in Spain on January 20, 2019
Verified Purchase
Sending feedback...
Thank you for your feedback.
Report abuse