Linkage in Evolutionary Computation

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Studies in Computational Intelligence 157

ISBN: 3540850678
ISBN 13: 9783540850670
Herausgeber: Ying-ping Chen
Verlag: Springer Verlag GmbH
Umfang: xii, 488 S., 227 s/w Illustr., 488 p. 227 illus.
Erscheinungsdatum: 26.09.2008
Auflage: 1/2008
Produktform: Gebunden/Hardback
Einband: Gebunden
Artikelnummer: 1168343 Kategorie:

Beschreibung

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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