Foundations in Grammatical Evolution for Dynamic Environm... and over one million other books are available for Amazon Kindle. Learn more


or
Sign in to turn on 1-Click ordering.
or
Amazon Prime Free Trial required. Sign up when you check out. Learn More
More Buying Choices
Have one to sell? Sell yours here
Foundations in Grammatical Evolution for Dynamic Environments (Studies in Computational Intelligence)
 
 
Start reading Foundations in Grammatical Evolution for Dynamic Environm... on your Kindle in under a minute.

Don't have a Kindle? Get your Kindle here, or download a FREE Kindle Reading App.

Foundations in Grammatical Evolution for Dynamic Environments (Studies in Computational Intelligence) [Hardcover]

Ian Dempsey (Author), Michael O'Neill (Author), Anthony Brabazon (Author)

Price: $149.00 & this item ships for FREE with Super Saver Shipping. Details
  Special Offers Available
o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o
In Stock.
Ships from and sold by Amazon.com. Gift-wrap available.
Only 4 left in stock--order soon (more on the way).
Want it delivered Monday, January 30? Choose One-Day Shipping at checkout. Details
Textbook Student FREE Two-Day Shipping for Students. Learn more

Formats

Amazon Price New from Used from
Kindle Edition $119.20  
Hardcover $149.00  
Paperback $149.00  

Book Description

3642003133 978-3642003134 April 15, 2009 1
Dynamic environments abound, encompassing many real-world problems in fields as diverse as finance, engineering, biology and business. A vibrant research literature has emerged which takes inspiration from evolutionary processes to develop problem-solvers for these environments. 'Foundations in Grammatical Evolution for Dynamic Environments' is a cutting edge volume illustrating current state of the art in applying grammar-based evolutionary computation to solve real-world problems in dynamic environments. The book provides a clear introduction to dynamic environments and the types of change that can occur. This is followed by a detailed description of evolutionary computation, concentrating on the powerful Grammatical Evolution methodology. It continues by addressing fundamental issues facing all Evolutionary Algorithms in dynamic problems, such as how to adapt and generate constants, how to enhance evolvability and maintain diversity. Finally, the developed methods are illustrated with application to the real-world dynamic problem of trading on financial time-series. The book was written to be accessible to a wide audience and should be of interest to practitioners, academics and students, who are seeking to apply grammar-based evolutionary algorithms to solve problems in dynamic environments. 'Foundations in Grammatical Evolution for Dynamic Environments' is the second book dedicated to the topic of Grammatical Evolution.

Special Offers and Product Promotions

  • Buy $50 in qualifying physical textbooks, get $5 in Amazon MP3 Credit. Here's how (restrictions apply)

Frequently Bought Together

Customers buy this book with Grammatical Evolution: Evolutionary Automatic Programming in an Arbitrary Language (Genetic Programming) $206.00

Foundations in Grammatical Evolution for Dynamic Environments (Studies in Computational Intelligence) + Grammatical Evolution: Evolutionary Automatic Programming in an Arbitrary Language (Genetic Programming)
Price For Both: $355.00

Show availability and shipping details


Customers Who Bought This Item Also Bought


Editorial Reviews

From the Back Cover

Dynamic environments abound, encompassing many real-world problems in fields as diverse as finance, engineering, biology and business. A vibrant research literature has emerged which takes inspiration from evolutionary processes to develop problem-solvers for these environments. 'Foundations in Grammatical Evolution for Dynamic Environments' is a cutting edge volume illustrating current state of the art in applying grammar-based evolutionary computation to solve real-world problems in dynamic environments. The book provides a clear introduction to dynamic environments and the types of change that can occur in them. This is followed by a detailed description of evolutionary computation, concentrating on the powerful Grammatical Evolution methodology. It continues by addressing fundamental issues facing all Evolutionary Algorithms in dynamic problems, such as how to adapt and generate constants, how to enhance evolvability and maintain diversity. Finally, the developed methods are illustrated with application to the real-world dynamic problem of trading on financial time-series. The book was written to be accessible to a wide audience and should be of interest to practitioners, academics and students, who are seeking to apply grammar-based evolutionary algorithms to solve problems in dynamic environments. 'Foundations in Grammatical Evolution for Dynamic Environments' is the second book dedicated to the topic of Grammatical Evolution.

Product Details


More About the Author

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

Customer Reviews


There are no customer reviews yet.
Video reviews
Video reviews
Amazon now allows customers to upload product video reviews. Use a webcam or video camera to record and upload reviews to Amazon.



Inside This Book (learn more)
Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Surprise Me!
Search Inside This Book:

Tags Customers Associate with This Product

 (What's this?)
Click on a tag to find related items, discussions, and people.
 

Your tags: Add your first tag
 

Customer Discussions

This product's forum
Discussion Replies Latest Post
No discussions yet

Ask questions, Share opinions, Gain insight
Start a new discussion
Topic:
First post:
Prompts for sign-in
 


Active discussions in related forums
Search Customer Discussions
Search all Amazon discussions
   
Related forums


Listmania!


Create a Listmania! list

So You'd Like to...


Create a guide


Look for Similar Items by Category


Look for Similar Items by Subject