Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

An Introduction to Genetic Algorithms.

An Introduction to Genetic Algorithms. Book Review Dorothea Heiss-Czedik University of Technology Vienna Auhofstr. 160/11 A-1130 Vienna Austria An Introduction to Genetic Algorithms. Melanie Mitchell. (1996, MIT Press/Bradford Books); $30.00, hardcover. An Introduction to Genetic Algorithms is one of the rare examples of a book in which every single page is worth reading. The author, Melanie Mitchell, manages to describe in depth many fascinating examples as well as important theoretical issues, yet the book is concise (200 pages) and readable. Although Mitchell explicitly states that her aim is not a complete survey, the essentials of genetic algorithms (GAs) are contained: theory and practice, problem solving and scientific models, a "Brief History" and "Future Directions." Her book is both an introduction for novices interested in GAs and a collection of recent research, including hot topics such as coevolution (interspecies and intraspecies), diploidy and dominance, encapsulation, hierarchical regulation, adaptive encoding, interactions of learning and evolution, self-adapting GAs, and more. Nevertheless, the book focused more on machine learning, artificial life, and modeling evolution than on optimization and engineering. Chapter 1—Introduction: After a brief history and motivation for the field of GAs, the elements and workings of GAs are explained and compared with traditional search methods. As http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Artificial Life MIT Press

An Introduction to Genetic Algorithms.

Heiss-Czedik, Dorothea
Artificial Life , Volume 3 (1) – Jan 1, 1997
Download PDF
3 pages

Loading next page...
 
/lp/mit-press/an-introduction-to-genetic-algorithms-D0zJsUCdJe

References

References for this paper are not available at this time. We will be adding them shortly, thank you for your patience.

Publisher
MIT Press
Copyright
© 1997 Massachusetts Institute of Technology
Subject
Book Review
ISSN
1064-5462
eISSN
1530-9185
DOI
10.1162/artl.1997.3.1.63
Publisher site
See Article on Publisher Site

Abstract

Book Review Dorothea Heiss-Czedik University of Technology Vienna Auhofstr. 160/11 A-1130 Vienna Austria An Introduction to Genetic Algorithms. Melanie Mitchell. (1996, MIT Press/Bradford Books); $30.00, hardcover. An Introduction to Genetic Algorithms is one of the rare examples of a book in which every single page is worth reading. The author, Melanie Mitchell, manages to describe in depth many fascinating examples as well as important theoretical issues, yet the book is concise (200 pages) and readable. Although Mitchell explicitly states that her aim is not a complete survey, the essentials of genetic algorithms (GAs) are contained: theory and practice, problem solving and scientific models, a "Brief History" and "Future Directions." Her book is both an introduction for novices interested in GAs and a collection of recent research, including hot topics such as coevolution (interspecies and intraspecies), diploidy and dominance, encapsulation, hierarchical regulation, adaptive encoding, interactions of learning and evolution, self-adapting GAs, and more. Nevertheless, the book focused more on machine learning, artificial life, and modeling evolution than on optimization and engineering. Chapter 1—Introduction: After a brief history and motivation for the field of GAs, the elements and workings of GAs are explained and compared with traditional search methods. As

Journal

Artificial Life – MIT Press

Published: Jan 1, 1997

There are no references for this article.