Evolutionary Computation in Practice

Author:   Tina Yu ,  Lawrence Davis ,  Cem Baydar
Publisher:   Springer
ISBN:  

9783540845171


Pages:   340
Publication Date:   12 August 2008
Format:   Undefined
Availability:   Out of stock   Availability explained


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Evolutionary Computation in Practice


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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
Publisher:   Springer
Imprint:   Springer
Dimensions:   Width: 23.40cm , Height: 1.80cm , Length: 15.60cm
Weight:   0.476kg
ISBN:  

9783540845171


ISBN 10:   3540845178
Pages:   340
Publication Date:   12 August 2008
Audience:   General/trade ,  General
Format:   Undefined
Publisher's Status:   Unknown
Availability:   Out of stock   Availability explained

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<p>From the reviews: <p><p> 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)


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