Hierarchical Bayesian Optimization Algorithm: Toward a New Generation of Evolutionary Algorithms - Studies in Fuzziness and Soft Computing - Martin Pelikan - Grāmatas - Springer-Verlag Berlin and Heidelberg Gm - 9783642062735 - 2010. gada 21. oktobris
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Martin Pelikan
Hierarchical Bayesian Optimization Algorithm: Toward a New Generation of Evolutionary Algorithms - Studies in Fuzziness and Soft Computing Softcover Reprint of Hardcover 1st Ed. 2005 edition

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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.

186 pages, biography

Mediji Grāmatas     Paperback Book   (Grāmata ar mīksto vāku un līmēto muguru)
Izlaists 2010. gada 21. oktobris
ISBN13 9783642062735
Izdevēji Springer-Verlag Berlin and Heidelberg Gm
Lapas 186
Izmēri 156 × 234 × 10 mm   ·   267 g
Valoda Angļu  

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