Evolutionary Computation in Dynamic and Uncertain Environments 2007 Edition Contributor(s): Yang, Shengxiang (Editor), Ong, Yew-Soon (Editor), Jin, Yaochu (Editor) |
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ISBN: 3540497722 ISBN-13: 9783540497721 Publisher: Springer OUR PRICE: $208.99 Product Type: Hardcover - Other Formats Published: March 2007 |
Additional Information |
BISAC Categories: - Mathematics | Applied - Computers | Intelligence (ai) & Semantics - Mathematics | Probability & Statistics - General |
Dewey: 006.32 |
LCCN: 2006939142 |
Series: Studies in Computational Intelligence |
Physical Information: 1.38" H x 6.14" W x 9.21" (2.32 lbs) 605 pages |
Descriptions, Reviews, Etc. |
Publisher Description: This book compiles recent advances of evolutionary algorithms in dynamic and uncertain environments within a unified framework. The book is motivated by the fact that some degree of uncertainty is inevitable in characterizing any realistic engineering systems. Discussion includes representative methods for addressing major sources of uncertainties in evolutionary computation, including handle of noisy fitness functions, use of approximate fitness functions, search for robust solutions, and tracking moving optimums. |