NEW BOOK ANNOUNCEMENT: Martin Pelikan Print
NEW BOOK ANNOUNCEMENT: Martin Pelikan
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
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: This e-mail address is being protected from spambots. You need JavaScript enabled to view it
WWW: http://www.cs.umsl.edu/~pelikan/