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Hierarchical Bayesian Optimization Algorithm: Toward a New Generation of Evolutionary Algorithms - Studies in Fuzziness and Soft Computing Martin Pelikan Softcover Reprint of Hardcover 1st Ed. 2005 edition
Hierarchical Bayesian Optimization Algorithm: Toward a New Generation of Evolutionary Algorithms - Studies in Fuzziness and Soft Computing
Martin Pelikan
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
| Mídia | Livros Paperback Book (Livro de capa flexível e brochura) |
| Lançado | 21 de outubro de 2010 |
| ISBN13 | 9783642062735 |
| Editoras | Springer-Verlag Berlin and Heidelberg Gm |
| Páginas | 186 |
| Dimensões | 156 × 234 × 10 mm · 267 g |
| Idioma | Inglês |
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