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Metaheuristics for Combinatorial Optimization

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Salvatore Greco

    1. Department of Economics and Business, University of Catania, Catania, Italy

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  2. Mario F. Pavone

    1. Department of Mathematics and Computer Science, University of Catania, Catania, Italy

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  3. El-Ghazali Talbi

    1. Laboratoire Cristal, University of Lille and Inria, Lille, France

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  4. Daniele Vigo

    1. Department of Electrical, Electronics, and Information Engineering and CIRI-ICT, University of Bologna, Bologna, Italy

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  • Analyzes metaheuristics from its designing to its implementation
  • Includes recent research results from Metaheuristics Summer School (MESS 2018) held in Taormina, Italy, on 15 April 2018
  • Discusses recent research in Metaheuristics for Combinatorial Optimization

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1332)

Included in the following conference series:

Conference proceedings info: MESS 2018.

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Table of contents (5 papers)

  1. Front Matter

    Pages i-xi
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  2. Mixed Integer Programming Formulations for the Balanced Traveling Salesman Problem with a Lexicographic Objective

    • Luc Libralesso
    Pages 1-15

  3. A Memetic Random Key Algorithm for the Balanced Travelling Salesman Problem

    • Ayse Aslan
    Pages 16-22

  4. A Variable Neighborhood Search Algorithm for Cost-Balanced Travelling Salesman Problem

    • Mehmet A. Akbay, Can B. Kalayci
    Pages 23-36

  5. Adaptive Iterated Local Search with Random Restarts for the Balanced Travelling Salesman Problem

    • Jacopo Pierotti, Lorenzo Ferretti, Laura Pozzi, J. Theresia van Essen
    Pages 37-56

  6. Correction to: Metaheuristics for Combinatorial Optimization

    • Salvatore Greco, Mario F. Pavone, El-Ghazali Talbi, Daniele Vigo
    Pages C1-C1

  7. Back Matter

    Pages 57-57
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  1. Metaheuristics for Combinatorial Optimization

Keywords

About this book

This book presents novel and original metaheuristics developed to solve the cost-balanced traveling salesman problem. This problem was taken into account for the Metaheuristics Competition proposed in MESS 2018, Metaheuristics Summer School, and the top 4 methodologies ranked are included in the book, together with a brief introduction to the traveling salesman problem and all its variants.

The book is aimed particularly at all researchers in metaheuristics and combinatorial optimization areas. 

Key uses are metaheuristics; complex problem solving; combinatorial optimization; traveling salesman problem.


Editors and Affiliations

  • Department of Economics and Business, University of Catania, Catania, Italy

    Salvatore Greco

  • Department of Mathematics and Computer Science, University of Catania, Catania, Italy

    Mario F. Pavone

  • Laboratoire Cristal, University of Lille and Inria, Lille, France

    El-Ghazali Talbi

  • Department of Electrical, Electronics, and Information Engineering and CIRI-ICT, University of Bologna, Bologna, Italy

    Daniele Vigo

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