Review
"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)
From the Publisher
This well-organized, introductory text takes the reader through the new and rapidly expanding field of genetic algorithms step by step, from a discussion of numerical optimization, to a survey of current extensions to genetic algorithms and applications. For the first time, theory is linked to practical application in a variety of disciplines through the presentation of numerous examples. Includes a glossary of important terms and a list of some genetic algorithm routines in pseudocode.
--This text refers to an out of print or unavailable edition of this title.
