Description: Hierarchical Bayesian Optimization Algorithm : Toward A New Generation Of Evolutionary Algorithms, Hardcover by Martin, Pelikan; Pelikan, Martin, ISBN 3540237747, ISBN-13 9783540237747, Like New Used, Free shipping in the US 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 th 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. Th 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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Book Title: Hierarchical Bayesian Optimization Algorithm : Toward A New Gener
Number of Pages: Xviii, 166 Pages
Language: English
Publication Name: Hierarchical Bayesian Optimization Algorithm : Toward a New Generation of Evolutionary Algorithms
Publisher: Springer Berlin / Heidelberg
Publication Year: 2005
Subject: Engineering (General), Computer Science, Applied, Optimization
Type: Textbook
Item Weight: 34.6 Oz
Subject Area: Mathematics, Computers, Technology & Engineering
Item Length: 9.3 in
Author: Martin Pelikan
Series: Studies in Fuzziness and Soft Computing Ser.
Item Width: 6.1 in
Format: Hardcover
