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Matheuristics [electronic resource] : Hybridizing Metaheuristics and Mathematical Programming / edited by Vittorio Maniezzo, Thomas Stȭtzle, Stefan VoȖ.

Por: Colaborador(es): Tipo de material: TextoTextoSeries Annals of Information Systems ; 10 | Annals of Information Systems ; 10Editor: Boston, MA : Springer US, 2010Descripción: XVIII, 270p. 19 illus. online resourceTipo de contenido:
  • text
Tipo de medio:
  • computer
Tipo de soporte:
  • online resource
ISBN:
  • 9781441913067
Trabajos contenidos:
  • SpringerLink (Online service)
Tema(s): Formatos físicos adicionales: Sin títuloClasificación CDD:
  • 658.40301 23
Clasificación LoC:
  • HD30.23
Recursos en línea:
Contenidos:
Springer eBooksResumen: Metaheuristics: Intelligent Problem Solving Marco Caserta and Stefan VoȖ Just MIP it! Matteo Fischetti, Andrea Lodi, and Domenico Salvagnin MetaBoosting: Enhancing Integer Programming Techniques by Metaheuristics Jakob Puchinger, Gȭnther R. Raidl, and Sandro Pirkwieser Usage of Exact Algorithms to Enhance Stochastic Local Search Algorithms Irina Dumitrescu and Thomas Stȭtzle Decomposition Techniques as Metaheuristic Frameworks Marco Boschetti, Vittorio Maniezzo, and Matteo Roffilli Convergence Analysis of Metaheuristics Walter J. Gutjahr MIP-based GRASP and Genetic Algorithm for Balancing Transfer Lines 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 Martin Gruber and Gȭnther R. Raidl A Good Recipe for Solving MINLPs Leo Liberti, Giacomo Nannicini, and Nenad Mladenovic Variable Intensity Local Search Sneʾana 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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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 -Peripatetic Vehicle Routing Problem.

Metaheuristics: Intelligent Problem Solving Marco Caserta and Stefan VoȖ Just MIP it! Matteo Fischetti, Andrea Lodi, and Domenico Salvagnin MetaBoosting: Enhancing Integer Programming Techniques by Metaheuristics Jakob Puchinger, Gȭnther R. Raidl, and Sandro Pirkwieser Usage of Exact Algorithms to Enhance Stochastic Local Search Algorithms Irina Dumitrescu and Thomas Stȭtzle Decomposition Techniques as Metaheuristic Frameworks Marco Boschetti, Vittorio Maniezzo, and Matteo Roffilli Convergence Analysis of Metaheuristics Walter J. Gutjahr MIP-based GRASP and Genetic Algorithm for Balancing Transfer Lines 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 Martin Gruber and Gȭnther R. Raidl A Good Recipe for Solving MINLPs Leo Liberti, Giacomo Nannicini, and Nenad Mladenovic Variable Intensity Local Search Sneʾana 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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