Book 2005

Search Methodologies

Introductory Tutorials in Optimization and Decision Support Techniques

Editors:

ISBN: 978-0-387-23460-1 (Print) 978-0-387-28356-2 (Online)

Table of contents (19 chapters)

  1. Front Matter

    Pages i-4

  2. Chapter

    Pages 5-18

    Introduction

  3. Chapter

    Pages 19-68

    Classical Techniques

  4. Chapter

    Pages 69-95

    Integer Programming

  5. Chapter

    Pages 97-125

    Genetic Algorithms

  6. Chapter

    Pages 127-164

    Genetic Programming

  7. Chapter

    Pages 165-186

    Tabu Search

  8. Chapter

    Pages 187-210

    Simulated Annealing

  9. Chapter

    Pages 211-238

    Variable Neighborhood Search

  10. Chapter

    Pages 239-272

    Constraint Programming

  11. Chapter

    Pages 273-316

    Multi-Objective Optimization

  12. Chapter

    Pages 317-339

    Complexity Theory and the No Free Lunch Theorem

  13. Chapter

    Pages 341-373

    Machine Learning

  14. Chapter

    Pages 375-399

    Artificial Immune Systems

  15. Chapter

    Pages 401-435

    Swarm Intelligence

  16. Chapter

    Pages 437-474

    Fuzzy Reasoning

  17. Chapter

    Pages 475-527

    Rough Set Based Decision Support

  18. Chapter

    Pages 529-556

    Hyper-Heuristics

  19. Chapter

    Pages 557-585

    Approximation Algorithms

  20. Chapter

    Pages 587-610

    Fitness Landscapes

  21. Back Matter

    Pages 611-620