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New book announcement



NEW BOOK ANNOUNCEMENT

AUTHOR
Martin Pelikan

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

PUBLISHER
Springer,  2005, XVIII, 166 p., Hardcover
ISBN: 3-540-23774-7

ABOUT
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.

KEYWORDS
Bayesian Networks
Black-Box Optimization
Genetic and Evolutionary Algorithms
Hierarchical Problem Solving
Probabilistic Model-Building Genetic Algorithms
Scalable Optimization

TABLE OF CONTENTS
Foreword by David E. Goldberg
Preface
1. From Genetic Variation to Probabilistic Modeling
2. Probabilistic Model-Building Genetic Algorithms
3. Bayesian Optimization Algorithm
4. Scalability Analysis
5. The Challenge of Hierarchical Difficulty
6. Hierarchical Bayesian Optimization Algorithm
7. Hierarchical BOA in the Real World
8. Summary and Conclusions

HOW TO ORDER
http://www.cs.umsl.edu/~pelikan/book.html

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Martin Pelikan
Dept. of Mathematics and Computer Science
University of Missouri at St. Louis, CCB 320 
8001 Natural Bridge Rd.
St. Louis, MO 63121

Phone/Fax: (314) 516 6348 / (314) 516-5400

E-mail: pelikan@cs.umsl.edu
WWW: http://www.cs.umsl.edu/~pelikan/ 
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