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.
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"...the first introductory–level book to emphasize practical applications through the use of example problems..." ( International Journal of General Systems, Vol. 31, No. 1, 2002)
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.
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