Handbook of Metaheuristics

The third edition of this handbook is designed to provide a broad coverage of the concepts, implementations, and applications in metaheuristics. The book's chapters serve as stand-alone presentations giving both the necessary underpinnings as well as practical guides for implementation. The nat...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Gendreau, Michel (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Potvin, Jean-Yves (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
Έκδοση:3rd ed. 2019.
Σειρά:International Series in Operations Research & Management Science, 272
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Chapter 1. Simulated Annealing: From Basics to Applications
  • Chapter 2. Tabu Search
  • Chapter 3. Variable Neighborhood Search
  • Chapter 4. Large Neighborhood Search
  • Chapter 5. Iterated Local Search: Framework and Applications
  • Chapter 6. Greedy Randomized Adaptive Search Procedures: Advances and Extensions
  • Chapter 7. Intelligent Multi-Start Methods
  • Chapter 8. Next Generation Genetic Algorithms: A User's Guide and Tutorial
  • Chapter 9. An Accelerated Introduction to Memetic Algorithms
  • Chapter 10. Ant Colony Optimization: Overview and Recent Advances
  • Chapter 11. Swarm Intelligence
  • Chapter 12. Metaheuristic Hybrids
  • Chapter 13. Parallel Metaheuristics and Cooperative Search
  • Chapter 14. A Classification of Hyper-heuristic Approaches - Revisited
  • Chapter 15. Reactive Search Optimization: Learning while Optimizing
  • Chapter 16. Stochastic Search in Metaheuristics
  • Chapter 17. Automated Design of Metaheuristic Algorithms
  • Chapter 18. Computational Comparison of Metaheuristics.