Handbook Of Genetic Algorithms

Lawrence David Davis

ISBN 10: 0442001738 / ISBN 13: 9780442001735

Published by Van Nostrand Reinhold, New York, 1991

About this Item

Van Nostrand Reinhold, 1991, New York. Hardcover. Condition: As new but for owners name on front end paper. Unread. Close to new condition with one very slight crease on title page but no damage or markings elsewhere and only very light wear to exterior. Still appears new. 1991 hardback. All our books at the moment are reduced so the price you see reflects a 33% discount. You may be interested in The Literaticus Book Service. We specialise in tracking down those harder to find editions, among other bookish services such as gift fulfilment. Get in touch to send us your Book Wants or ask a bookish question. If this is intended as a gift, please email first and I can gift wrap for no extra charge. If you would like special delivery but don't see an option for it, just email first and I'll obtain a quote. If you have any questions, require more information or if you would like more pictures, do not hesitate to get in touch.

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Bibliographic Details

• Title: Handbook Of Genetic Algorithms
• Publisher: Van Nostrand Reinhold, New York
• Publication Date: 1991
• Language: English
• ISBN 10: 0442001738
• ISBN 13: 9780442001735
• Binding: Hardcover
• Edition: 1st Edition
• Condition: Near Fine
• Dust Jacket Condition: Very Good

About this title

Synopsis

Handbook of Genetic Algorithms is really two books combined into one. The first book is a 100-page introduction to genetic algorithms. It covers the basic genetic algorithm along with hybrid genetic algorithms and order-based genetic algorithms. The second book is a collection of 13 academic articles on genetic algorithm applications. These articles cover a wide range of applications, including aircraft design, multiple-fault diagnosis, and sequence scheduling, and appear to have no common theme. The introduction to genetic algorithms is accessible to anyone who has taken a few computer science courses; the academic articles ume that you are well versed in genetic algorithm theory.