Matheuristics (häftad)
Format
Häftad (Paperback / softback)
Språk
Engelska
Antal sidor
270
Utgivningsdatum
2009-10-02
Upplaga
2010 ed.
Förlag
Springer-Verlag New York Inc.
Medarbetare
Maniezzo, Vittorio (ed.), Stützle, Thomas (ed.), Voß, Stefan (ed.)
Illustratör/Fotograf
19 schwarz-weiße Zeichnungen 19 schwarz-weiße Abbildungen 36 schwarz-weiße Tabellen
Illustrationer
19 Illustrations, black and white; XVIII, 270 p. 19 illus.
Dimensioner
234 x 156 x 15 mm
Vikt
409 g
Antal komponenter
1
Komponenter
1 Paperback / softback
ISBN
9781441913050

Matheuristics

Hybridizing Metaheuristics and Mathematical Programming

Häftad,  Engelska, 2009-10-02
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Metaheuristics support managers in decision-making with robust tools that provide high-quality solutions to important applications in business, engineering, economics, and science in reasonable time frames, but finding exact solutions in these applications still poses a real challenge. However, because of advances in the fields of mathematical optimization and metaheuristics, major efforts have been made on their interface regarding efficient hybridization. This edited book will provide a survey of the state of the art in this field by providing some invited reviews by well-known specialists as well as refereed papers from the second Matheuristics workshop to be held in Bertinoro, Italy, June 2008. Papers will explore mathematical programming techniques in metaheuristics frameworks, and especially focus on the latest developments in Mixed Integer Programming in solving real-world problems.
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Innehållsförteckning

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.