| Title:
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EVOLUTIONARY COMPUTATION IN DYNAMIC AND UNCERTAIN ENVIRONMENTS
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| By: |
Shengxiang Yang (Editor), Yew Soon Ong (Editor), Yaochu Jin (Editor) |
| Format: |
Hardback |
| List price:
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£249.99 |
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| ISBN 10: |
3540497722 |
| ISBN 13: |
9783540497721 |
| Publisher: |
SPRINGER-VERLAG BERLIN AND HEIDELBERG GMBH & CO. KG |
| Pub. date: |
1 March, 2007 |
| Edition: |
2007 ed. |
| Series: |
Studies in Computational Intelligence 51 |
| Pages: |
605 |
| Description: |
Compiles advances of evolutionary algorithms in dynamic and uncertain environments within a unified framework. This book includes representative methods for addressing major sources of uncertainties in evolutionary computation, including handle of noisy fitness functions, use of approximate fitness functions, and search for robust solutions. |
| Synopsis: |
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. |
| Illustrations: |
89 Tables, black and white; XXIII, 605 p. |
| Publication: |
Germany |
| Imprint: |
Springer-Verlag Berlin and Heidelberg GmbH & Co. K |
| Returns: |
Returnable |