Evolutionary Computation in Practice edited by Tina Yu, Lawrence Davis, Cem Baydar, Rajkumar Roy.

This book is loaded with examples in which computer scientists and engineers have used evolutionary computation—programs that mimic natural evolution—to solve real problems. They aren’t abstract, mathematically intensive papers, but accounts of solving important problems, including tips from the aut...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Yu, Tina (Editor), Davis, Lawrence (Editor), Baydar, Cem (Editor), Roy, Rajkumar (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edition:1st ed. 2008.
Series:Studies in Computational Intelligence, 88
Springer eBook Collection.
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Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Description
Summary:This book is loaded with examples in which computer scientists and engineers have used evolutionary computation—programs that mimic natural evolution—to solve real 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. Some of the authors have already won "Humies"—Human Competitive Results Awards—for the work described in this book. I highly recommend it as a highly concentrated source of good problem-solving approaches that are applicable to many real-world problems. --Erik Goodman, Vice President, Red Cedar Technology, Inc.; Professor, Electrical & Computer Engineering, Michigan State University; and Founding Chair, ACM SIGEVO, the Special Interest Group on Genetic and Evolutionary Computation of the Association for Computing Machinery.
Physical Description:XIV, 322 p. online resource.
ISBN:9783540757719
ISSN:1860-949X ;
DOI:10.1007/978-3-540-75771-9