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OverviewThis 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 DetailsAuthor: Tina Yu , Lawrence Davis , Cem BaydarPublisher: Springer Imprint: Springer Dimensions: Width: 23.40cm , Height: 1.80cm , Length: 15.60cm Weight: 0.476kg ISBN: 9783540845171ISBN 10: 3540845178 Pages: 340 Publication Date: 12 August 2008 Audience: General/trade , General Format: Undefined Publisher's Status: Unknown Availability: Out of stock Table of ContentsReviews<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) Author InformationTab Content 6Author Website:Countries AvailableAll regions |