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Hierarchical Bayesian Optimization Algorithm: Toward a New Generation of Evolutionary Algorithms (Studies in Fuzziness and Soft Computing)


Extreame Savings Item! Save 45% on the Hierarchical Bayesian Optimization Algorithm: Toward a New Generation of Evolutionary Algorithms (Studies in Fuzziness and Soft Computing) by Martin Pelikan at EMS Linux. MPN: Illustrations. Hurry! Limited time offer. Offer valid only while supplies last. This book provides a framework for the design of competent optimization techniques by combining advanced evolutionary algorithms with


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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.

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Manufacturer:Springer
Brand:Martin Pelikan
Part Number:Illustrations
Publisher:Springer
Studio:Springer
MPN:Illustrations
EAN:9783540237747
Item Weight:0.97 pounds
Item Size:0.56 x 6.14 x 6.14 inches
Package Weight:0.85 pounds
Package Size:6.3 x 0.6 x 0.6 inches

Hierarchical Bayesian Optimization Algorithm: Toward a New Generation of Evolutionary Algorithms (Studies in Fuzziness and Soft Computing) by Martin Pelikan

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Hierarchical Bayesian Optimization Algorithm: Toward a New Generation of Evolutionary Algorithms (Studies in Fuzziness and Soft Computing)

Brand: Martin Pelikan
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