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Description - Hierarchical Bayesian Optimization Algorithm by Martin Pelikan

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.

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Book Details

ISBN: 9783540237747
ISBN-10: 3540237747
Format: Hardback
(234mm x 156mm x 12mm)
Pages: 166
Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Publish Date: 1-Feb-2005
Country of Publication: Germany

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