Overview
* This book deals with the fundamentals of genetic algorithms and their applications in a variety of different areas of engineering and science * 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
Full Product Details
Author: Randy L. Haupt (State College, Pennsylvania, USA) ,
Sue Ellen Haupt (State College, Pennsylvania, USA)
Publisher: John Wiley & Sons Inc
Imprint: Wiley-Interscience
Edition: 2nd edition
Dimensions:
Width: 16.00cm
, Height: 1.50cm
, Length: 24.10cm
Weight: 0.517kg
ISBN: 9780471455653
ISBN 10: 0471455652
Pages: 288
Publication Date: 18 June 2004
Audience:
Professional and scholarly
,
Professional & Vocational
Format: Hardback
Publisher's Status: Active
Availability: Out of stock
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.
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)
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)
Author Information
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.
