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.
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Marco Caserta and Stefan Voß
- Just MIP it!
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- MetaBoosting: Enhancing Integer Programming Techniques by Metaheuristics
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Jakob Puchinger, Günther R. Raidl, and Sandro Pirkwieser
- Usage of Exact Algorithms to Enhance Stochastic Local Search Algorithms
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Irina Dumitrescu and Thomas Stützle
- Decomposition Techniques as Metaheuristic Frameworks
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Marco Boschetti, Vittorio Maniezzo, and Matteo Roffilli
- Convergence Analysis of Metaheuristics
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Walter J. Gutjahr
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Alexandre Dolgui, Anton Eremeev, and Olga Guschinskaya
- (Meta-)Heuristic Separation of Jump Cuts in a Branch & Cut Approach for the Bounded Diameter Minimum Spanning Tree Problem
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Martin Gruber and Günther R. Raidl
- A Good Recipe for Solving MINLPs
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Leo Liberti, Giacomo Nannicini, and Nenad Mladenovic
- Variable Intensity Local Search
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Snežana Mitrovic-Minic and Abraham P. Punnen
- A Hybrid Tabu Search for the m-Peripatetic Vehicle Routing Problem
Sandra Ulrich Ngueveu, Christian Prins, and Roberto Wolfer Calvo
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Presents the latest research on using mathematical programming in metaheuristics frameworks Represents a major advance in complex problem-solving methodologies Presents breakthroughs in using Mixed Integer Programming to solve real-world problems Includes supplementary material: sn.pub/extras
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Produktdetaljer
ISBN
9781441913050
Publisert
2009-10-02
Utgiver
Springer-Verlag New York Inc.
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Professional/practitioner, P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
18