Hierarchical Bayesian Optimization Algorithm: Toward a New Generation of Evolutionary Algorithms (Studies in Fuzziness and Soft Computing)
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Type
Book
Authors
ISBN 10
3540237747
ISBN 13
9783540237747
Category
Projeto
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Publication Year
2005
Publisher
Pages
166
Tags
Description
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. - from Amzon
Number of Copies
1
| Library | Accession No | Call No | Copy No | Edition | Location | Availability |
|---|---|---|---|---|---|---|
| Main | 9 | 1 | Yes |