Matheuristics : Algorithms and Implementations

by Vittorio Maniezzo, Marco Antonio Boschetti, Thomas Stützle

Part I: Contextual Issues -- 1. The Generalized Assignment Problem -- 2. 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.

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Year of publication:	2021 ; 1st ed. 2021.
Authors:	Maniezzo, Vittorio ; Boschetti, Marco Antonio ; Stützle, Thomas G.
Publisher:	2021.: Cham : Springer International Publishing 2021.: Cham : Imprint: Springer
Subject:	Algorithmus \| Algorithm \| Theorie \| Theory \| Mathematische Optimierung \| Mathematical programming
Description of contents:	Description [swbplus.bsz-bw.de]

Extent:	1 Online-Ressource(XVIII, 214 p. 41 illus., 22 illus. in color.)
Series:	EURO Advanced Tutorials on Operational Research Springer eBook Collection
Type of publication:	Book / Working Paper
Language:	English
ISBN:	978-3-030-70277-9 ; 978-3-030-70276-2 ; 978-3-030-70278-6 ; 978-3-030-70279-3
Other identifiers:	10.1007/978-3-030-70277-9 [DOI]
Classification:	Angewandte Mathematik
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://ebvufind01.dmz1.zbw.eu/10012508427