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: 1st ed. Softcover of orig. ed. 2008
Volume: 88
Dimensions:
Width: 15.50cm
, Height: 1.70cm
, Length: 23.50cm
Weight: 0.516kg
ISBN: 9783642094927
ISBN 10: 3642094929
Pages: 322
Publication Date: 30 November 2010
Audience:
Professional and scholarly
,
Professional and scholarly
,
Professional & Vocational
,
Postgraduate, Research & Scholarly
Format: Paperback
Publisher's Status: Active
Availability: Out of print, replaced by POD
We will order this item for you from a manufatured on demand supplier.
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)
