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Hierarchical Bayesian Optimization Algorithm


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The main focus of this book is on two algorithms that replace traditional variation operators of evolutionary algorithms by learning and sampling Bayesian networks: Bayesian optimization algorithm (BOA) and the hierarchical BOA (hBOA). This book provides an overview of evolutionary algorithms that use probabilistic models to guide their search, motivate and describe the BOA and hBOA a way that is accessible by a wide audience and presents the results of many who claim that they are a revolutionary approach to optimizing the black box.

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