Overview
- State of the art of evolutionary algorithms in dynamic and uncertain environments
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Computational Intelligence (SCI, volume 51)
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Table of contents (26 chapters)
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Optimum Tracking in Dynamic Environments
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Approximation of Fitness Functions
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Handling Noisy Fitness Functions
Keywords
About this book
Editors and Affiliations
Bibliographic Information
Book Title: Evolutionary Computation in Dynamic and Uncertain Environments
Editors: Shengxiang Yang, Yew-Soon Ong, Yaochu Jin
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-540-49774-5
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2007
Hardcover ISBN: 978-3-540-49772-1Published: 07 March 2007
Softcover ISBN: 978-3-642-08065-4Published: 30 November 2010
eBook ISBN: 978-3-540-49774-5Published: 03 April 2007
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XXIII, 605
Topics: Mathematical and Computational Engineering, Computational Intelligence, Artificial Intelligence, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences