Hierarchical Bayesian Optimization Algorithm

Toward a New Generation of Evolutionary Algorithms

von Martin Pelikan

166 Seiten, Hardcover

Kurzbeschreibung des Verlags

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.

• Reihe: Studies in Fuzziness and Soft Computing
• Themen: Informatik und Informationstechnologie Informatik Theoretische Informatik
• ISBN: 9783540237747
• Sprache: Englisch
• Erscheinungsdatum: 01.02.2005
• Größe: 23.5 x 15.5 cm
• Verlag: Springer Berlin