An Introduction to Genetic Algorithms (Complex Adaptive Systems Series]

Mitchell, Melanie

ISBN 10: 0262631857 / ISBN 13: 9780262631853

Published by MIT Press / a Bradford Book, 1999

About this Item

No remainder marks. A stock image is an accurate representation of the listed book's cover design. Pages [vii, 208 including index] clean, unmarked. Covers with minimal display indications, no reading creases at spine, one small spot at top of front page edges. Illustrated with graphs and drawings. All books are in my smoke free & climate controlled shop and will have qualities and/or flaws described. Domestic & international shipping includes tracking information. Size: 8vo - over 7 3/4 to 9 3/4".

Seller Inventory # 016190

Bibliographic Details

• Title: An Introduction to Genetic Algorithms (Complex Adaptive Systems Series]
• Publisher: MIT Press / a Bradford Book
• Publication Date: 1999
• Language: English
• ISBN 10: 0262631857
• ISBN 13: 9780262631853
• Binding: Trade Paperback
• Illustrator: Unidentified
• Edition: Fifth Printing.
• Condition: Near Fine
• Seller catalogs:
  • Computers & IT
  • Science & Technology

About this title

Synopsis

Genetic algorithms have been used in science and engineering as adaptive algorithms for solving practical problems and as computational models of natural evolutionary systems. This brief, accessible introduction describes some of the most interesting research in the field and also enables readers to implement and experiment with genetic algorithms on their own. It focuses in depth on a small set of important and interesting topics—particularly in machine learning, scientific modeling, and artificial life—and reviews a broad span of research, including the work of Mitchell and her colleagues.

The descriptions of applications and modeling projects stretch beyond the strict boundaries of computer science to include dynamical systems theory, game theory, molecular biology, ecology, evolutionary biology, and population genetics, underscoring the exciting "general purpose" nature of genetic algorithms as search methods that can be employed across disciplines.

An Introduction to Genetic Algorithms is accessible to students and researchers in any scientific discipline. It includes many thought and computer exercises that build on and reinforce the reader's understanding of the text. The first chapter introduces genetic algorithms and their terminology and describes two provocative applications in detail. The second and third chapters look at the use of genetic algorithms in machine learning (computer programs, data analysis and prediction, neural networks) and in scientific models (interactions among learning, evolution, and culture; sexual selection; ecosystems; evolutionary activity). Several approaches to the theory of genetic algorithms are discussed in depth in the fourth chapter. The fifth chapter takes up implementation, and the last chapter poses some currently unanswered questions and surveys prospects for the future of evolutionary computation.

About the Author

Melanie Mitchell is Professor of Computer Science at Portland State University and External Professor at the Santa Fe Institute