Linkage in Evolutionary Computation (Paperback, Softcover reprint of hardcover 1st ed. 2008)


In recent years, the issue of linkage in GEAs has garnered greater attention and recognition from researchers. Conventional approaches that rely much on ad hoc tweaking of parameters to control the search by balancing the level of exploitation and exploration are grossly inadequate. As shown in the work reported here, such parameters tweaking based approaches have their limits; they can be easily fooled by cases of triviality or peculiarity of the class of problems that the algorithms are designed to handle. Furthermore, these approaches are usually blind to the interactions between the decision variables, thereby disrupting the partial solutions that are being built up along the way.


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Product Description

In recent years, the issue of linkage in GEAs has garnered greater attention and recognition from researchers. Conventional approaches that rely much on ad hoc tweaking of parameters to control the search by balancing the level of exploitation and exploration are grossly inadequate. As shown in the work reported here, such parameters tweaking based approaches have their limits; they can be easily fooled by cases of triviality or peculiarity of the class of problems that the algorithms are designed to handle. Furthermore, these approaches are usually blind to the interactions between the decision variables, thereby disrupting the partial solutions that are being built up along the way.

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Product Details

General

Imprint

Springer-Verlag

Country of origin

Germany

Series

Studies in Computational Intelligence, 157

Release date

October 2010

Availability

Expected to ship within 10 - 15 working days

First published

2008

Editors

Dimensions

235 x 155 x 25mm (L x W x T)

Format

Paperback

Pages

488

Edition

Softcover reprint of hardcover 1st ed. 2008

ISBN-13

978-3-642-09876-5

Barcode

9783642098765

Categories

LSN

3-642-09876-2



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