Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
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In den WarenkorbZustand: Used. pp. 188 Illus.
Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
Zustand: Used. pp. 188.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
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In den WarenkorbZustand: New. In.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
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In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: Springer Berlin Heidelberg, 2005
ISBN 10: 3540237747 ISBN 13: 9783540237747
Anbieter: moluna, Greven, Deutschland
EUR 64,08
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In den WarenkorbGebunden. Zustand: New. Presents a new generation of evolutionary algorithms, which are revolutionary approaches to black-box optimizationThis book provides a framework for the design of competent optimization techniques by combining advanced evolutionary algorithms .
Sprache: Englisch
Verlag: Springer Berlin Heidelberg, 2010
ISBN 10: 3642062733 ISBN 13: 9783642062735
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Hierarchical Bayesian Optimization Algorithm | Toward a New Generation of Evolutionary Algorithms | Martin Pelikan | Taschenbuch | Studies in Fuzziness and Soft Computing | xviii | Englisch | 2010 | Springer | EAN 9783642062735 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer, Berlin, Springer Berlin Heidelberg, Springer, 2005
ISBN 10: 3540237747 ISBN 13: 9783540237747
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Neuware - 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.