Description
* Most significant update to the second edition is the MATLAB codes that accompany the text
* Provides a thorough discussion of hybrid genetic algorithms
* Features more examples than first edition
About the Author
RANDY L. HAUPT, PhD, is Department Head and Senior Scientist at The Pennsylvania State University Applied Research Laboratory, State College, Pennsylvania.
SUE ELLEN HAUPT, PhD, is a Senior Research Associate in the Computational Mechanics Division of The Pennsylvania State University Applied Research Laboratory, State College, Pennsylvania.
Both Randy and Sue Ellen Haupt are renowned experts in the field of genetic algorithms in engineering and science applications.
Reviews
"Statisticians and computing scientists will like this book very much and will benefit greatly from it." (Journal of Statistical Computation and Simulation, November 2005)
"...an excellent introduction to the world of optimization with its distinct vocabulary and tools." (Journal of the American Statistical Association, September 2005)
"I recommend it highly to anyone who is interested in trying to explore this powerful tool to optimization problems in his or her area of interest." (International Journal of General Systems, June 2005)
"...a nice step-by-step introduction to genetic algorithms (GA) which is specifically designed for practitioners..." (Journal of Intelligent & Fuzzy Systems, Vol. 16, No. 2, 2005)
"This book is very nice to read. It is ideal for some interesting evening study." (Technometrics, May 2005)
"...this book is a worthwhile addition to any course in optimization and/or Gas. It could also serve as a practical guide and template source for researchers..." (Computing Reviews.com, September 30, 2004)
Book Information
ISBN 9780471455653
Author Randy L. Haupt
Format Hardback
Page Count 288
Imprint Wiley-Interscience
Publisher John Wiley & Sons Inc
Weight(grams) 517g
Dimensions(mm) 241mm * 160mm * 15mm
