Hierarchical Bayesian Optimization Algorithm: Toward A New Generation Of Evolutionary Algorithms - Couverture rigide

Pelikan, Martin

Couverture rigide

ISBN 10 : 3540237747 ISBN 13 : 9783540237747

Editeur : Springer-Verlag Berlin and Heidelberg GmbH & Co. K, 2005

Synopsis

This book provides a framework for the design of competent optimization techniques by combining advanced evolutionary algorithms with state-of-the-art machine learning techniques. The primary focus of the book is on two algorithms that replace traditional variation operators of evolutionary algorithms, by learning and sampling Bayesian networks: the Bayesian optimization algorithm (BOA) and the hierarchical BOA (hBOA). They provide a scalable solution to a broad class of problems. The book provides an overview of evolutionary algorithms that use probabilistic models to guide their search, motivates and describes BOA and hBOA in a way accessible to a wide audience, and presents numerous results confirming that they are revolutionary approaches to black-box optimization.

Détails de l'édition

• Éditeur: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
• Date d'édition: 2005
• Langue: anglais
• ISBN 10: 3540237747
• ISBN 13: 9783540237747
• Reliure: Relié
• Nombre de pages: 184
• Coordonnées du fabricant: non disponible
• Personne responsable: CMN Printpool Inh. Mathis Neumann; https://www.also.com/ec/cms5/en_6000/6000/index.jsp; ; Friedrich-Karl-Str. 9; Hamburg; Allemagne