Matheuristics
Algorithms and Implementations
Matheuristics
Algorithms and Implementations
This book is the first comprehensive tutorial on matheuristics. Matheuristics are based on mathematical extensions of previously known heuristics, mainly metaheuristics, and on original, area-specific approaches. This tutorial provides a detailed discussion of both contributions, presenting the pseudocodes of over 40 algorithms, abundant literature references, and for each case a step-by-step description of a sample run on a common Generalized Assignment Problem example. C++ source codes of all algorithms are available in an associated SW repository.
Part I: Contextual Issues
1. The Generalized Assignment Problem2. Automatic Design for Matheuristics
Part II: Metaheuristic Hybrids
3. Single Solution Metaheuristics
4. Population-Based metaheuristics
Part III: Original Matheuristics
5. Diving Heuristics
6. Very Large-Scale Neighborhood Search
7. Decomposition Based Heuristics
8. Corridor Method
9. Kernel Search
10. Fore-and-Back.
Maniezzo, Vittorio
Boschetti, Marco Antonio
Stützle, Thomas
| ISBN | 978-3-030-70276-2 |
|---|---|
| Medientyp | Buch |
| Copyrightjahr | 2021 |
| Verlag | Springer, Berlin |
| Umfang | XVIII, 214 Seiten |
| Sprache | Englisch |
