**Downloadable Solution Manual for Evolutionary Optimization Algorithms, Dan Simon, ISBN: 978-0-470-93741-9, ISBN: 9780470937419**

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Table of Contents

Acknowledgments xxi

Acronyms xxiii

List of Algorithms xxvii

Pert I: Introduction to Evolutionary Optimization

1 Introduction 1

2 Optimization 11

Part II: Classic Evoluntionary Algorithms

3 Generic Algorithms 35

4 Mathematical Models of Genetic Algorithms 63

5 Evolutionary Programming 95

6 Evolution Strategies 117

7 Genetic Programming 141

8 Evolutionary Algorithms Variations 179

Part III: More Recent Evolutionary Algorithms

9 Simulated Annealing 223

10 Ant Colony Optimization 241

11 Particle Swarm Optimization 265

12 Differential Evolution 293

13 Estimation of Distribution Algorithms 313

14 Biogeography-Based Optimization 351

15 Cultural Algorithms 377

16 Oppostion-Based Learning 397

17 Other Evolutionary Algorithms 421

Part IV: Special Type of Optimization Problems

18 Combinatorial Optimization 449

19 Constrained Optimization 481

20 Multi-Objective Optimization 517

21 Expensive, Noisy and Dynamic Fitness Functions 563

Appendices

A Some Practical Advice 607

B The No Free Luch Therorem and Performance Testing 613

C Benchmark Optimization Functions 641