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Genetic Algorithms and Their Adaptation to Grouping and Clustering Problems
 
 
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Genetic Algorithms and Their Adaptation to Grouping and Clustering Problems (Hardcover)

by Emanuel Falkenauer (Author) "Throughout this book, we will be dealing with problems ..." (more)
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Product Description

Product Description
A reader–friendly introduction to the exciting, vast potential of Genetic Algorithms.

The book gives readers a general understanding of the concepts underlying the technology, an insight into its perceived benefits and failings, and a clear and practical illustration of how optimization problems can be solved more efficiently using Falkenauer′s new class of algorithms.

From the Back Cover
Emanuel Falkenauer shows how to use genetic algorithms to solve several types of problems better than any genetic algorithm technique has done. It is quite gratifying to see such innovation. Lawrence Davis President, TICA Technologies, Inc. Genetic Algorithms and Grouping Problems is truly innovative in presenting new techniques for applying genetic algorithms (GAs). It achieves a greater insight into GA design by placing its use in context, offering the big picture in an easy–to–digest form. This book contains discussions of problems for which genetic algorithms are not well suited, as well as those for which they are. One such problem – and the one that receives most attention in this book – is the area of grouping problems. Genetic Algorithms and Grouping Problems is written for those designing or creating real–world genetic algorithms, whether practitioner or researcher. In addition, the very nature of this author′s discourse will inspire anyone wishing to understand both the benefits and the limitations of GAs.
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