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Evolutionary Algorithms Softcover Repri Edition
Contributor(s): Davis, Lawrence D. (Editor), de Jong, Kenneth (Editor), Vose, Michael D. (Editor)

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 ISBN: 1461271851     ISBN-13: 9781461271857
Publisher: Springer
OUR PRICE: $52.24  

Binding Type: Paperback
Published: October 2012
Qty:

Click for more in this series: IMA Volumes in Mathematics and Its Applications
Additional Information
BISAC Categories:
- Computers | Intelligence (ai) & Semantics
Dewey: 006.3
Series: IMA Volumes in Mathematics and Its Applications
Physical Information: 0.67" H x 6.14" W x 9.21" L (0.98 lbs) 293 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
This IMA Volume in Mathematics and its Applications EVOLUTIONARY ALGORITHMS is based on the proceedings of a workshop that was an integral part of the 1996-97 IMA program on "MATHEMATICS IN HIGH-PERFORMANCE COMPUTING." I thank Lawrence David Davis (Tica Associates), Kenneth De Jong (Computer Science, George Mason University), Michael D. Vose (Computer Science, The University of Tennessee), and L. Darrell Whitley (Computer Science, Colorado State University) for their excellent work in organizing the workshop and for editing the proceedings. Further appreciation is ex- tended to Donald G. Truhlar (Chemistry and Supercomputing Institute, University of Minnesota) who was also one of the workshop organizers. In addition, I also take this opportunity to thank the National Science Foundation (NSF), Minnesota Supercomputing Institute (MSI), and the Army Research Office (ARO), whose financial support made the workshop possible. Willard Miller, Jr., Professor and Director v PREFACE The IMA Workshop on Evolutionary Algorithms brought together many of the top researchers working in the area of Evolutionary Com- putation for a week of intensive interaction. The field of Evolutionary Computation has developed significantly over the past 30 years and today consists a variety of subfields such as genetic algorithms, evolution strate- gies, evolutionary programming, and genetic programming, each with their own algorithmic perspectives and goals.
 
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