Matheuristics
Hybridizing Metaheuristics and Mathematical Programming
(Sprache: Englisch)
This edited book provides a survey of the most up-to-date research in this field by collecting a number of invited reviews by well-known specialists, as well as refereed papers from the second Matheuristics workshop held in Bertinoro, Italy, in June 2008.
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Produktinformationen zu „Matheuristics “
This edited book provides a survey of the most up-to-date research in this field by collecting a number of invited reviews by well-known specialists, as well as refereed papers from the second Matheuristics workshop held in Bertinoro, Italy, in June 2008.
Klappentext zu „Matheuristics “
- Metaheuristics: Intelligent Problem Solving
- Just MIP it!
- MetaBoosting: Enhancing Integer Programming Techniques by Metaheuristics
- Usage of Exact Algorithms to Enhance Stochastic Local Search Algorithms
- Decomposition Techniques as Metaheuristic Frameworks
- Convergence Analysis of Metaheuristics
- MIP-based GRASP and Genetic Algorithm for Balancing Transfer Lines
- (Meta-)Heuristic Separation of Jump Cuts in a Branch & Cut Approach for the Bounded Diameter Minimum Spanning Tree Problem
- A Good Recipe for Solving MINLPs
- Variable Intensity Local Search
- A Hybrid Tabu Search for the m-Peripatetic Vehicle Routing Problem Sandra Ulrich Ngueveu, Christian Prins, and Roberto Wolfer Calvo
Marco Caserta and Stefan Voß
Matteo Fischetti, Andrea Lodi, and Domenico Salvagnin
Jakob Puchinger, Günther R. Raidl, and Sandro Pirkwieser
Irina Dumitrescu and Thomas Stützle
Marco Boschetti, Vittorio Maniezzo, and Matteo Roffilli
Walter J. Gutjahr
Alexandre Dolgui, Anton Eremeev, and Olga Guschinskaya
Martin Gruber and Günther R. Raidl
Leo Liberti, Giacomo Nannicini, and Nenad Mladenovic
Snezana Mitrovic-Minic and Abraham P. Punnen
Inhaltsverzeichnis zu „Matheuristics “
Metaheuristics: Intelligent Problem Solving.- Just MIP it#x0021;.- MetaBoosting: Enhancing Integer Programming Techniques by Metaheuristics.- Usage of Exact Algorithms to Enhance Stochastic Local Search Algorithms.- Decomposition Techniques as Metaheuristic Frameworks.- Convergence Analysis of Metaheuristics.- MIP-based GRASP and Genetic Algorithm for Balancing Transfer Lines.- (Meta-)Heuristic Separation of Jump Cuts in a Branch#x0026;Cut Approach for the Bounded Diameter Minimum Spanning Tree Problem.- A Good Recipe for Solving MINLPs.- Variable Intensity Local Search.- A Hybrid Tabu Search for the -Peripatetic Vehicle Routing Problem.
Bibliographische Angaben
- 2009, XVIII, 270 Seiten, Maße: 15,9 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Vittorio Maniezzo, Thomas Stützle, Stefan Voß
- Verlag: Springer, Berlin
- ISBN-10: 144191305X
- ISBN-13: 9781441913050
- Erscheinungsdatum: 02.10.2009
Sprache:
Englisch
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