Overview

This book is loaded with examples in which computer scientists and engineers have used evolutionary computation - programs that mimic natural evolution - to solve many real-world problems. They aren't abstract, mathematically intensive papers, but accounts of solving important problems, including tips from the authors on how to avoid common pitfalls, maximize the effectiveness and efficiency of the search process, and many other practical suggestions.

Full Product Details

Author:   Tina Yu ,  Lawrence Davis ,  Cem Baydar ,  Rajkumar Roy
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2008 ed.
Volume:   88
Dimensions:   Width: 15.50cm , Height: 1.70cm , Length: 23.50cm
Weight:   0.676kg
ISBN:  

9783540757702

ISBN 10:   3540757708
Pages:   322
Publication Date:   04 January 2008
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock  
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

Reviews

From the reviews: 'Evolutionary Computation in Practice' ! focuses on real-world challenges and on technology transfer from academia to industry. It is of interest to everyone working on machine learning. ! is well-written, easy to read and provides a comprehensive coverage of the field. ! This enables the appropriate and successful use of EC. It inspires academic researchers by demonstrating the value of their work, and guides them in their development of EC. It is an excellent contribution to the Studies in Computational Intelligence series. (Larry M. Deschaine, Genetic Programming and Evolvable Machines, Vol. 9, March, 2008)

From the reviews: `Evolutionary Computation in Practice' ... focuses on real-world challenges and on technology transfer from academia to industry. It is of interest to everyone working on machine learning. ... is well-written, easy to read and provides a comprehensive coverage of the field. ... This enables the appropriate and successful use of EC. It inspires academic researchers by demonstrating the value of their work, and guides them in their development of EC. It is an excellent contribution to the Studies in Computational Intelligence series. (Larry M. Deschaine, Genetic Programming and Evolvable Machines, Vol. 9, March, 2008)

From the reviews: 'Evolutionary Computation in Practice' ... focuses on real-world challenges and on technology transfer from academia to industry. It is of interest to everyone working on machine learning. ... is well-written, easy to read and provides a comprehensive coverage of the field. ... This enables the appropriate and successful use of EC. It inspires academic researchers by demonstrating the value of their work, and guides them in their development of EC. It is an excellent contribution to the Studies in Computational Intelligence series. (Larry M. Deschaine, Genetic Programming and Evolvable Machines, Vol. 9, March, 2008)

Author Information

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions