Genetic Algorithms and Grouping Problems / Edition 1

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Overview

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.

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Editorial Reviews

Booknews
Offers students and readers not familiar with genetic algorithms (GAs) an overview of the subject matter in an easy-to-digest format. The author explains all aspects of GAs, without broaching unnecessary details that discourage most readers. Central to the author's intent is a description of what is most important in a well-designed GA as well as aspects that could prove troublesome. Grouping problems receive considerable attention as representative of problems for which genetic algorithms are not well suited. Annotation c. by Book News, Inc., Portland, Or.
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Product Details

  • ISBN-13: 9780471971504
  • Publisher: Wiley
  • Publication date: 8/14/1998
  • Edition number: 1
  • Pages: 240
  • Product dimensions: 0.56 (w) x 9.21 (h) x 6.14 (d)

Table of Contents

HARD PROBLEMS AND GENETIC ALGORITHMS.

What's the Problem?

Genetic Algorithms.

THE GROUPING GENETIC ALGORITHM.

Grouping Problems.

Drawbacks of Previous GAs for Grouping Problems.

The Grouping Genetic Algorithm.

INDUSTRIAL APPLICATIONS OF GROUPING GENETIC ALGORITHMS.

Bin Packing and Line Balancing.

Economies of Scale.

Creation of Part Families-Conceptual Clustering.

Equal Piles.

EPILOGUE.

Where Have We Been?

Where Are We Now?

Where Are We Heading?

Appendices.

The NP-Hard Problems.

Complexity and Genetic Research.

References.

Index.

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