Item description for Hierarchical Bayesian Optimization Algorithm: Toward a New Generation of Evolutionary Algorithms (Studies in Fuzziness and Soft Computing) 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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Est. Packaging Dimensions: Length: 9.4" Width: 6.3" Height: 0.6" Weight: 0.85 lbs.
Release Date Mar 24, 2005
ISBN 3540237747 ISBN13 9783540237747
Availability 125 units. Availability accurate as of Jan 19, 2017 10:45.
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