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Hierarchical Bayesian Optimization Algorithm by Martin Pelikan
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Hierarchical Bayesian Optimization Algorithm

Toward a New Generation of Evolutionary Algorithms
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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.
Release date Australia
October 21st, 2010
Audience
  • Professional & Vocational
Edition
Softcover reprint of hardcover 1st ed. 2005
Illustrations
XVIII, 166 p.
Pages
166
Dimensions
156x234x10
ISBN-13
9783642062735
Product ID
8961786

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