Hierarchical Bayesian Optimization Algorithm Toward a new Generation of Evolutionary Algorithms /

• Main Author: Pelikan, Martin (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005.
• Series: Studies in Fuzziness and Soft Computing, 170
• Subjects: Computer science.; Computer programming.; Computers.; Artificial intelligence.; Applied mathematics.; Engineering mathematics.; Algorithms.; Computer Science.; Theory of Computation.; Appl.Mathematics/Computational Methods of Engineering.; Artificial Intelligence (incl. Robotics).; Programming Techniques.; Applications of Mathematics.

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 book focuses on two algorithms that replace traditional variation operators of evolutionary algorithms by learning a...

Table of Contents:

• From Genetic Variation to Probabilistic Modeling
• Probabilistic Model-Building Genetic Algorithms
• Bayesian Optimization Algorithm
• Scalability Analysis
• The Challenge of Hierarchical Difficulty
• Hierarchical Bayesian Optimization Algorithm
• Hierarchical BOA in the Real World.