Practical Genetic Algorithms - Integrative Approaches to the Prevention and Treatment of Modern Diseases

A tutorial on genetic algorithms with an emphasis on practical applications

The rapidly expanding field of genetic algorithms has given rise to many new applications in a variety of disciplines. However, most of the existing books on the subject concentrate on theory. Practical Genetic Algorithms is the first introductory-level book to emphasize practical applications through the use of example problems.

In an accessible style, the authors explain why the genetic algorithm is superior in many real-world applications, cover continuous parameter genetic algorithms, and provide in-depth trade-off analysis of genetic algorithm parameter selection. Written for the end user in engineering, science, and computer programming, as well as upper-level undergraduate and graduate students, Practical Genetic Algorithms:
* Provides numerous practical example problems
* Contains over 80 illustrations
* Features many figures and tables
* Includes three appendices: a glossary of terms, a list of genetic algorithm routines in pseudocode, and a list of symbols used in the book.

RANDY L. HAUPT, PhD, is Professor and Chair of Electrical Engineering at the University of Nevada, Reno.

SUE ELLEN HAUPT, PhD, is a research associate in the Program in Atmospheric and Oceanic Science at the University of Colorado, Boulder.