Hierarchical Bayesian Optimization Algorithm: Toward a New Generation of Evolutionary Algorithms

By Martin Pelikan

Book Overview

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.

• Format: Paperback
• Language: English
• ISBN: 3642062733
• ISBN13: 9783642062735
• Release Date: October 2010
• Publisher: Springer
• Length: 166 Pages
• Weight: 0.59 lbs.
• Dimensions: 0.4" x 6.1" x 9.2"