Foundations of genetic algorithms 6 /

Foundations of Genetic Algorithms, Volume 6 is the latest in a series of books that records the prestigious Foundations of Genetic Algorithms Workshops, sponsored and organised by the International Society of Genetic Algorithms specifically to address theoretical publications on genetic algorithms a...

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Bibliographic Details
Corporate Authors: ScienceDirect (Online service), Workshop on Foundations of Genetic Algorithms
Other Authors: Martin, W. N. (Worthy N.), Spears, William M., 1962-
Format: Conference Proceeding eBook
Language:English
Published: San Francisco, Calif. : Morgan Kaufmann, ©2001.
Series:Morgan Kaufmann series in evolutionary computation.
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary:Foundations of Genetic Algorithms, Volume 6 is the latest in a series of books that records the prestigious Foundations of Genetic Algorithms Workshops, sponsored and organised by the International Society of Genetic Algorithms specifically to address theoretical publications on genetic algorithms and classifier systems. Genetic algorithms are one of the more successful machine learning methods. Based on the metaphor of natural evolution, a genetic algorithm searches the available information in any given task and seeks the optimum solution by replacing weaker populations with stronger ones. Includes research from academia, government laboratories, and industry Contains high calibre papers which have been extensively reviewed Continues the tradition of presenting not only current theoretical work but also issues that could shape future research in the field Ideal for researchers in machine learning, specifically those involved with evolutionary computation.
Item Description:"The 2000 Foundations of Genetic Algorithms (FOGA-6) workshop was the sixth biennial meeting in this series of workshops"--Page 1
Physical Description:1 online resource (342 pages) : illustrations
Bibliography:Includes bibliographical references and indexes.
ISBN:9781558607347
155860734X
9780080506876
0080506879
ISSN:1081-6593