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Linkage in Evolutionary Computation

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This volume presents recent results in Linkage in Evolutionary Computation. For practitioners who are looking at putting into practice the concept of linkage, the few chapters on applications will serve as a useful guide.

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Hauptbeschreibung

Titel: Linkage in Evolutionary Computation
Autoren/Herausgeber: Ying-ping Chen (Hrsg.)
Aus der Reihe: Studies in Computational Intelligence
Ausgabe: 2008

ISBN/EAN: 9783540850670

Seitenzahl: 488
Format: 23,5 x 15,5 cm
Produktform: Hardcover/Gebunden
Gewicht: 907 g
Sprache: Englisch

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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