Matheuristics: Hybridizing Metaheuristics and Mathematical Programming (Annals of Information Systems, Band 10) - Softcover

Buch 5 von 21: Annals of Information Systems
 
9781441913050: Matheuristics: Hybridizing Metaheuristics and Mathematical Programming (Annals of Information Systems, Band 10)

Inhaltsangabe

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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Von der hinteren Coverseite

  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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