Handbook of Metaheuristics

Editors:

ISBN: 978-1-4419-1663-1 (Print) 978-1-4419-1665-5 (Online)

Table of contents (21 chapters)

previous Page of 2
  1. Front Matter

    Pages i-xix

  2. No Access

    Book Chapter

    Pages 1-39

    Simulated Annealing

  3. No Access

    Book Chapter

    Pages 41-59

    Tabu Search

  4. No Access

    Book Chapter

    Pages 61-86

    Variable Neighborhood Search

  5. No Access

    Book Chapter

    Pages 87-107

    Scatter Search and Path-Relinking: Fundamentals, Advances, and Applications

  6. No Access

    Book Chapter

    Pages 109-139

    Genetic Algorithms

  7. No Access

    Book Chapter

    Pages 141-183

    A Modern Introduction to Memetic Algorithms

  8. No Access

    Book Chapter

    Pages 185-225

    Genetic Programming

  9. No Access

    Book Chapter

    Pages 227-263

    Ant Colony Optimization: Overview and Recent Advances

  10. No Access

    Book Chapter

    Pages 265-281

    Advanced Multi-start Methods

  11. No Access

    Book Chapter

    Pages 283-319

    Greedy Randomized Adaptive Search Procedures: Advances, Hybridizations, and Applications

  12. No Access

    Book Chapter

    Pages 321-361

    Guided Local Search

  13. No Access

    Book Chapter

    Pages 363-397

    Iterated Local Search: Framework and Applications

  14. No Access

    Book Chapter

    Pages 399-419

    Large Neighborhood Search

  15. No Access

    Book Chapter

    Pages 421-448

    Artificial Immune Systems

  16. No Access

    Book Chapter

    Pages 449-468

    A Classification of Hyper-heuristic Approaches

  17. No Access

    Book Chapter

    Pages 469-496

    Metaheuristic Hybrids

  18. No Access

    Book Chapter

    Pages 497-541

    Parallel Meta-heuristics

  19. No Access

    Book Chapter

    Pages 543-571

    Reactive Search Optimization: Learning While Optimizing

  20. No Access

    Book Chapter

    Pages 573-597

    Stochastic Search in Metaheuristics

  21. No Access

    Book Chapter

    Pages 599-623

    An Introduction to Fitness Landscape Analysis and Cost Models for Local Search

previous Page of 2