Matheuristics: Hybridizing Metaheuristics and Mathematical Programming (Annals of Information Systems)

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9781441913050: Matheuristics: Hybridizing Metaheuristics and Mathematical Programming (Annals of Information Systems)
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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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From the Back Cover:

  1. Metaheuristics: Intelligent Problem Solving
  2. Marco Caserta and Stefan Voß

  3. Just MIP it!
  4. Matteo Fischetti, Andrea Lodi, and Domenico Salvagnin

  5. MetaBoosting: Enhancing Integer Programming Techniques by Metaheuristics
  6. Jakob Puchinger, Günther R. Raidl, and Sandro Pirkwieser

  7. Usage of Exact Algorithms to Enhance Stochastic Local Search Algorithms
  8. Irina Dumitrescu and Thomas Stützle

  9. Decomposition Techniques as Metaheuristic Frameworks
  10. Marco Boschetti, Vittorio Maniezzo, and Matteo Roffilli

  11. Convergence Analysis of Metaheuristics
  12. Walter J. Gutjahr

  13. MIP-based GRASP and Genetic Algorithm for Balancing Transfer Lines
  14. Alexandre Dolgui, Anton Eremeev, and Olga Guschinskaya

  15. (Meta-)Heuristic Separation of Jump Cuts in a Branch & Cut Approach for the Bounded Diameter Minimum Spanning Tree Problem
  16. Martin Gruber and Günther R. Raidl

  17. A Good Recipe for Solving MINLPs
  18. Leo Liberti, Giacomo Nannicini, and Nenad Mladenovic

  19. Variable Intensity Local Search
  20. Snežana Mitrovic-Minic and Abraham P. Punnen

  21. A Hybrid Tabu Search for the m-Peripatetic Vehicle Routing Problem

    Sandra Ulrich Ngueveu, Christian Prins, and Roberto Wolfer Calvo

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Book Description Springer-Verlag New York Inc., United States, 2009. Paperback. Condition: New. 2010 ed.. Language: English . Brand New Book. 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. Seller Inventory # KNV9781441913050

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Vittorio Maniezzo (editor), Thomas Stützle (editor), Stefan Voß (editor)
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Published by Springer-Verlag New York Inc., United States (2009)
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Book Description Springer-Verlag New York Inc., United States, 2009. Paperback. Condition: New. 2010 ed.. Language: English . Brand New Book. 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. Seller Inventory # KNV9781441913050

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Book Description Condition: New. Publisher/Verlag: Springer, Berlin | Hybridizing Metaheuristics and Mathematical Programming | Metaheuristics: Intelligent Problem SolvingMarco Caserta and Stefan VoßJust MIP it!Matteo Fischetti, Andrea Lodi, and Domenico SalvagninMetaBoosting: Enhancing Integer Programming Techniques by MetaheuristicsJakob Puchinger, Günther R. Raidl, and Sandro PirkwieserUsage of Exact Algorithms to Enhance Stochastic Local Search AlgorithmsIrina Dumitrescu and Thomas StützleDecomposition Techniques as Metaheuristic FrameworksMarco Boschetti, Vittorio Maniezzo, and Matteo RoffilliConvergence Analysis of MetaheuristicsWalter J. GutjahrMIP-based GRASP and Genetic Algorithm for Balancing Transfer LinesAlexandre Dolgui, Anton Eremeev, and Olga Guschinskaya(Meta-)Heuristic Separation of Jump Cuts in a Branch & Cut Approach for the Bounded Diameter Minimum Spanning Tree ProblemMartin Gruber and Günther R. RaidlA Good Recipe for Solving MINLPsLeo Liberti, Giacomo Nannicini, and Nenad MladenovicVariable Intensity Local SearchSne ana Mitrovic-Minic and Abraham P. PunnenA Hybrid Tabu Search for the m-Peripatetic Vehicle Routing ProblemSandra Ulrich Ngueveu, Christian Prins, and Roberto Wolfer Calvo | From the contents: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 Metaheuristics 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.- Index. | Format: Paperback | Language/Sprache: english | 423 gr | 270 pp. Seller Inventory # K9781441913050

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Published by Springer (2018)
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Book Description Springer, 2018. Paperback. Condition: New. Never used! This item is printed on demand. Seller Inventory # 144191305X

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VITTORIO MANIEZZO
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Book Description Springer, 2009. Paperback. Condition: NEW. 9781441913050 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. For all enquiries, please contact Herb Tandree Philosophy Books directly - customer service is our primary goal. Seller Inventory # HTANDREE0294524

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Vittorio Maniezzo
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Book Description Springer-Verlag Gmbh Okt 2009, 2009. Taschenbuch. Condition: Neu. Neuware - Metaheuristics: Intelligent Problem SolvingMarco Caserta and Stefan Voß Just MIP it! Matteo Fischetti, Andrea Lodi, and Domenico Salvagnin MetaBoosting: Enhancing Integer Programming Techniques by Metaheuristics Jakob Puchinger, Günther R. Raidl, and Sandro Pirkwieser Usage of Exact Algorithms to Enhance Stochastic Local Search Algorithms Irina Dumitrescu and Thomas Stützle 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 Günther R. Raidl A Good Recipe for Solving MINLPs Leo Liberti, Giacomo Nannicini, and Nenad Mladenovic Variable Intensity Local Search Sne ana 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 269 pp. Englisch. Seller Inventory # 9781441913050

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Vittorio Maniezzo
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Book Description Springer-Verlag Gmbh Okt 2009, 2009. Taschenbuch. Condition: Neu. Neuware - Metaheuristics: Intelligent Problem SolvingMarco Caserta and Stefan Voß Just MIP it! Matteo Fischetti, Andrea Lodi, and Domenico Salvagnin MetaBoosting: Enhancing Integer Programming Techniques by Metaheuristics Jakob Puchinger, Günther R. Raidl, and Sandro Pirkwieser Usage of Exact Algorithms to Enhance Stochastic Local Search Algorithms Irina Dumitrescu and Thomas Stützle 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 Günther R. Raidl A Good Recipe for Solving MINLPs Leo Liberti, Giacomo Nannicini, and Nenad Mladenovic Variable Intensity Local Search Sne ana 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 269 pp. Englisch. Seller Inventory # 9781441913050

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