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

hierarchical bayesian optimization algorithm : toward a new generation of evolutionary algorithms (studies in fuzziness and soft computing)

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

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Book Description
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.

Hierarchical Bayesian Optimization Algorithm: Toward a New Generation of Evolutionary Algorithms (Studies in Fuzziness and Soft Computing),Martin Pelikan,Springer,3540237747,Applied,Artificial Intelligence - General,Computer Books: Languages,Computers,Evolutionary programming (Computer science),Genetic algorithms,Genetic programming (Computer science),Mathematics,Programming - Algorithms,Algorithms & procedures,Bayesian Networks,Black-Box Optimization,Genetic and Evolutionary Algorithms,Hierarchical Problem Solving,Mathematics / Applied,Probabilistic Model-Building Genetic Algorithms,Scalable Optimization

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