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Hierarchical Bayesian optimization algorithm : toward a new generation of evolutionary algorithms

Author: Martin Pelikan
Publisher: Berlin ; New York : Springer-Verlag, 2005.
Series: Studies in fuzziness and soft computing, 170.
Edition/Format:   Print book : English : 1st edView all editions and formats
Summary:
"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 book focuses 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). BOA and hBOA
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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Martin Pelikan
ISBN: 3540237747 9783540237747 3642062733 9783642062735
OCLC Number: 57730016
Description: xviii, 166 pages : illustrations ; 24 cm.
Contents: 1. From genetic variation to probabilistic modeling --
2. Probabilistic model-building genetic algorithms --
3. Bayesian optimization algorithm --
4. Scalability analysis --
5. The challenge of hierarchical difficulty --
6. Hierarchical Bayesian optimization algorithm --
7. Hierarchical BOA in the real world --
8. Summary and conclusions.
Series Title: Studies in fuzziness and soft computing, 170.
Responsibility: Martin Pelikan.
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Abstract:

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.  Read more...

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