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Matheuristics : Algorithms and Implementations / by Vittorio Maniezzo, Marco Antonio Boschetti, Thomas Stützle
(EURO Advanced Tutorials on Operational Research. ISSN:23646888)

Publisher (Cham : Springer International Publishing : Imprint: Springer)
Year 2021
Edition 1st ed. 2021.
Authors *Maniezzo, Vittorio author
Boschetti, Marco Antonio author
Stützle, Thomas author
SpringerLink (Online service)

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OB00162324 Springer Business and Management eBooks (電子ブック) 9783030702779

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Material Type E-Book
Media type 機械可読データファイル
Size XVIII, 214 p. 41 illus., 22 illus. in color : online resource
Notes 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
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
HTTP:URL=https://doi.org/10.1007/978-3-030-70277-9
Subjects LCSH:Production management
LCSH:Operations research
LCSH:Management science
LCSH:Algorithms
LCSH:Computer science—Mathematics
LCSH:Mathematical optimization
FREE:Operations Management
FREE:Operations Research, Management Science
FREE:Algorithms
FREE:Mathematical Applications in Computer Science
FREE:Optimization
Classification LCC:TS155-194
DC23:658.5
ID 8000074126
ISBN 9783030702779

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