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Matheuristics

Hybridizing Metaheuristics and Mathematical Programming

  • Book
  • © 2010

Overview

Editors:
  1. Vittorio Maniezzo

    1. Dipto. Scienze dell‘Informazione, Universitá di Bologna, Cesena, Italy

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  2. Thomas Stützle

    1. Bruxelles, Belgium

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  3. Stefan Voß

    1. Dept. Wirtschaftswissenschaften, Inst. Wirtschaftsinformatik, Universität Hamburg, Hamburg, Germany

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    You can also search for this editor in PubMed   Google Scholar

  • 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

Part of the book series: Annals of Information Systems (AOIS, volume 10)

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Table of contents (11 chapters)

  1. Front Matter

    Pages i-xv
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  2. Metaheuristics: Intelligent Problem Solving

    • Marco Caserta, Stefan Voß
    Pages 1-38

  3. Just MIP it!

    • Matteo Fischetti, Andrea Lodi, Domenico Salvagnin
    Pages 39-70

  4. MetaBoosting: Enhancing Integer Programming Techniques by Metaheuristics

    • Jakob Puchinger, Günther R. Raidl, Sandro Pirkwieser
    Pages 71-102

  5. Usage of Exact Algorithms to Enhance Stochastic Local Search Algorithms

    • Irina Dumitrescu, Thomas Stützle
    Pages 103-134

  6. Decomposition Techniques as Metaheuristic Frameworks

    • Marco Boschetti, Vittorio Maniezzo, Matteo Roffilli
    Pages 135-158

  7. Convergence Analysis of Metaheuristics

    • Walter J. Gutjahr
    Pages 159-187

  8. MIP-based GRASP and Genetic Algorithm for Balancing Transfer Lines

    • Alexandre Dolgui, Anton Eremeev, Olga Guschinskaya
    Pages 189-208

  9. (Meta-)Heuristic Separation of Jump Cuts in a Branch&Cut Approach for the Bounded Diameter Minimum Spanning Tree Problem

    • Martin Gruber, Günther R. Raidl
    Pages 209-229

  10. A Good Recipe for Solving MINLPs

    • Leo Liberti, Giacomo Nannicini, Nenad Mladenović
    Pages 231-244

  11. Variable Intensity Local Search

    • Snežana Mitrović-Minić, Abraham P. Punnen
    Pages 245-252

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

    • Sandra Ulrich Ngueveu, Christian Prins, Roberto Wolfler Calvo
    Pages 253-266

  13. Back Matter

    Pages 1-3
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Keywords

About this 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.

Editors and Affiliations

  • Dipto. Scienze dell‘Informazione, Universitá di Bologna, Cesena, Italy

    Vittorio Maniezzo

  • Bruxelles, Belgium

    Thomas Stützle

  • Dept. Wirtschaftswissenschaften, Inst. Wirtschaftsinformatik, Universität Hamburg, Hamburg, Germany

    Stefan Voß

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