Programming Books C Java PHP Python Learn more Browse Programming Books
Buy New
$62.73
Qty:1
  • List Price: $97.00
  • Save: $34.27 (35%)
Only 1 left in stock (more on the way).
Ships from and sold by Amazon.com.
Gift-wrap available.
Add to Cart
Want it tomorrow, April 22? Order within and choose One-Day Shipping at checkout. Details
Trade in your item
Get a $5.55
Gift Card.
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

Evolutionary Computation for Modeling and Optimization (Interdisciplinary Applied Mathematics) Hardcover

ISBN-13: 978-0387221960 ISBN-10: 0387221964 Edition: 2006th

See all 3 formats and editions Hide other formats and editions
Amazon Price New from Used from Collectible from
Hardcover
"Please retry"
$62.73
$57.82 $70.00

Free%20Two-Day%20Shipping%20for%20College%20Students%20with%20Amazon%20Student



Customers Who Viewed This Item Also Viewed

NO_CONTENT_IN_FEATURE

Up to 50% Off Materials & Chemistry Books
For a limited time, enjoy special savings on materials and chemistry titles from Springer. Learn more

Product Details


Editorial Reviews

Review

From the reviews:

"Evolutionary computation is a rich and diverse field … . This book … delivers a very practical introduction to the basics of the field … . The tasks considered are all very motivational and advance from instructional toy examples to real world applications. … The particular strength of the book lies in its didactic capabilities. The instructor will find different suggestions for selecting chapters leading to courses with different focus. … This makes designing courses with the help of this book … an easy task." (Thomas Jansen, Mathematical Reviews, Issue 2006 k)

"This book is based on the author’s lecture notes of this lectures given at Iowa State University and is an introduction to evolurionary computation, a field which includes genetic algorithms, evolutionary programming, evolution strategies, and genetic programming. The text is intended for computer science, engineering, and other applied mathematics students. … Finally, the book is a useful guide to using evolutionary algorithms as a problem solving tool." (Emil Ivanov, Zentralblatt MATH, Vol. 1102 (4), 2007)

"The present book is mainly focused on genetic algorithms and genetic programming, and successfully explains evolutionary computation through many different applications of these algorithms. … I enjoyed reading this book … . All of the chapters of the book are very well written, easy to understand … . The book could provide a useful background to both undergraduate and graduate students commencing research studies in evolutionary computation. … very useful for researchers who are planning to develop and apply evolutionary algorithms for their specific problems." (Adil Baykasoglu, The Computer Journal, Vol. 51 (6), 2008)

From the Back Cover

Evolutionary Computation for Optimization and Modeling is an introduction to evolutionary computation, a field which includes genetic algorithms, evolutionary programming, evolution strategies, and genetic programming. The text is a survey of some application of evolutionary algorithms. It introduces mutation, crossover, design issues of selection and replacement methods, the issue of populations size, and the question of design of the fitness function. It also includes a methodological material on efficient implementation. Some of the other topics in this book include the design of simple evolutionary algorithms, applications to several types of optimization, evolutionary robotics, simple evolutionary neural computation, and several types of automatic programming including genetic programming. The book gives applications to biology and bioinformatics and introduces a number of tools that can be used in biological modeling, including evolutionary game theory. Advanced techniques such as cellular encoding, grammar based encoding, and graph based evolutionary algorithms are also covered.

This book presents a large number of homework problems, projects, and experiments, with a goal of illustrating single aspects of evolutionary computation and comparing different methods. Its readership is intended for an undergraduate or first-year graduate course in evolutionary computation for computer science, engineering, or other computational science students. Engineering, computer science, and applied math students will find this book a useful guide to using evolutionary algorithms as a problem solving tool.


More About the Author

Discover books, learn about writers, read author blogs, and more.

Customer Reviews

There are no customer reviews yet.
5 star
4 star
3 star
2 star
1 star
Share your thoughts with other customers
ARRAY(0xa2575804)