Theory Of Randomized Search Heuristics: Foundations And Recent Developments

by Benjamin Doerr, Anne Auger

Overview

Randomized search heuristics such as evolutionary algorithms, genetic algorithms, evolution strategies, ant colony and particle swarm optimization turn out to be highly successful for optimization in practice. The theory of randomized search heuristics, which has been growing rapidly in the last five years, also attempts to explain the success of the methods in practical applications.This book covers both classical results and the most recent theoretical developments in the field of randomized search heuristics such as runtime analysis, drift analysis and convergence. Each chapter provides an overview of a particular domain and gives insights into the proofs and proof techniques of more specialized areas. Open problems still remain widely in randomized search heuristics — being a relatively young and vast field. These problems and directions for future research are addressed and discussed in this book.The book will be an essential source of reference for experts in the domain of randomized search heuristics and also for researchers who are involved or ready to embark in this field. As an advanced textbook, graduate students will benefit from the comprehensive coverage of topics

Product Details

ISBN-13:	9789814282666
Publisher:	World Scientific Publishing Company, Incorporated
Publication date:	02/17/2011
Series:	Series On Theoretical Computer Science , #1
Pages:	372
Product dimensions:	6.10(w) x 9.00(h) x 1.00(d)

Table of Contents

Preface vii

1 Analyzing Randomized Search Heuristics: Tools from Probability Theory Benjamin Doerr 1

2 Runtime Analysis of Evolutionary Algorithms for Discrete Optimization Peter S. Oliveto Xin Yao 21

3 Evolutionary Computation in Combinatorial Optimization Daniel Johannsen 53

4 Theoretical Aspects of Evolutionary Multiobjective Optimization Dimo Brockhoff 101

5 Memetic Evolutionary Algorithms Dirk Sudholt 141

6 Simulated Annealing Thomas Jansen 171

7 Theory of Particle Swarm Optimization Carsten Witt 197

8 Ant Colony Optimization: Recent Developments in Theoretical Analysis Walter J. Gutjahr 225

9 A "No Free Lunch" Tutorial: Sharpened and Focused No Free Lunch Darrell Whitley Jonathan Rowe 255

10 Theory of Evolution Strategies: A New Perspective Anne Auger Nikolaus Hansen 289

11 Lower Bounds for Evolution Strategies Olivier Teytaud 327

Subject Index 355