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. No Access

    Book Chapter

    Pages 5-18

    Introduction

  2. No Access

    Book Chapter

    Pages 19-68

    Classical Techniques

  3. No Access

    Book Chapter

    Pages 69-95

    Integer Programming

  4. No Access

    Book Chapter

    Pages 97-125

    Genetic Algorithms

  5. No Access

    Book Chapter

    Pages 127-164

    Genetic Programming

  6. No Access

    Book Chapter

    Pages 165-186

    Tabu Search

  7. No Access

    Book Chapter

    Pages 187-210

    Simulated Annealing

  8. No Access

    Book Chapter

    Pages 211-238

    Variable Neighborhood Search

  9. No Access

    Book Chapter

    Pages 239-272

    Constraint Programming

  10. No Access

    Book Chapter

    Pages 273-316

    Multi-Objective Optimization

  11. No Access

    Book Chapter

    Pages 317-339

    Complexity Theory and the No Free Lunch Theorem

  12. No Access

    Book Chapter

    Pages 341-373

    Machine Learning

  13. No Access

    Book Chapter

    Pages 375-399

    Artificial Immune Systems

  14. No Access

    Book Chapter

    Pages 401-435

    Swarm Intelligence

  15. No Access

    Book Chapter

    Pages 437-474

    Fuzzy Reasoning

  16. No Access

    Book Chapter

    Pages 475-527

    Rough Set Based Decision Support

  17. No Access

    Book Chapter

    Pages 529-556

    Hyper-Heuristics

  18. No Access

    Book Chapter

    Pages 557-585

    Approximation Algorithms

  19. No Access

    Book Chapter

    Pages 587-610

    Fitness Landscapes