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Book synopsis

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.

Book details

Book category Books in English Computing & information technology Computer science

• Full title: Hierarchical Bayesian Optimization Algorithm
• Subtitle: Toward a New Generation of Evolutionary Algorithms
• Author: Martin Pelikan
• Language: English
• Binding: Hardback
• Number of pages: 166
• EAN: 9783540237747
• ISBN: 3540237747
• ID: 01560051
• Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
• Weight: 406 g
• Dimensions: 242 × 165 × 16 mm
• Date of publishing: 01. February 2005

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