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Industrial Applications of Genetic Algorithms (International series on computational intelligence)
 
 
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Industrial Applications of Genetic Algorithms (International series on computational intelligence) (Hardcover)

by Charles Karr (Editor), L. Michael Freeman (Editor) "Genetic algorithms (GAs) are computer-based search techniques patterned after the genetic mechanisms of biological organisms which have allowed such organisms to adapt and flourish in..." (more)
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The popularity of genetic algorithms (GAs) continues to increase because of their effectiveness, applicability, and ease of use. Industrial Applications of Genetic Algorithms shows how GAs have made the leap form their origins in the laboratory to the practicing engineer's toolbox. Each of the 18 chapters in the book describes a project completed by a graduate student at the University of Alabama. Describing real-world applications and techniques, readers will find cost-effective examples and solutions along with succinct, well-illustrated methods applying to a wide range of industrial problems.

From the Back Cover
Genetic algorithms (GAs) are computer-based search techniques patterned after the genetic mechanisms of biological organisms that have adapted and flourished in changing, highly competitive environments for millions of years. GAs have been successfully applied to problems in a variety of studies, and their popularity continues to increase because of their effectiveness, applicability, and ease of use.
Industrial Applications of Genetic Algorithms shows how GAs have made the leap form their origins in the laboratory to the practicing engineer's toolbox. Each chapter in the book describes a project completed by a graduate student at the University of Alabama.
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Genetic algorithms (GAs) are computer-based search techniques patterned after the genetic mechanisms of biological organisms which have allowed such organisms to adapt and flourish in changing, highly competitive environments for millions of years. Read the first page
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