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Hybrid Metaheuristics

Third International Workshop, HM 2006, Gran Canaria, Spain, October 13-14, 2006, Proceedings

  • Conference proceedings
  • © 2006

Overview

Editors:
  1. Francisco Almeida

    1. Department of Statistics and Computer Science, La Laguna University Spain,  

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  2. María J. Blesa Aguilera

    1. Universitat Politècnica de Catalunya, Barcelona, Spain

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  3. Christian Blum

    1. ALBCOM, Dept. Llenguatges i Sistemes Informàtics, Universitat Politècnica de Catalunya, Barcelona, Spain

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  4. José Marcos Moreno Vega

    1. DEIOC, Universidad de La Laguna, Escuela Técnica Superior en Ingeniería Informática, La Laguna, Tenerife, Spain

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  5. Melquíades Pérez Pérez

    1. Escuela Técnica Superior en Ingeniería Informática, Universidad de La Laguna, La Laguna, Tenerife, Spain

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  6. Andrea Roli

    1. DEIS, Campus of Cesena Alma Mater Studiorum, Università di Bologna, Cesena, Italy

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  7. Michael Sampels

    1. Université Libre de Bruxelles, Bruxelles, Belgium

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4030)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: HM 2006.

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Table of contents (14 papers)

  1. Front Matter

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  2. A Unified View on Hybrid Metaheuristics

    • Günther R. Raidl
    Pages 1-12

  3. Packing Problems with Soft Rectangles

    • Toshihide Ibaraki, Kouji Nakamura
    Pages 13-27

  4. A Multi-population Parallel Genetic Algorithm for Highly Constrained Continuous Galvanizing Line Scheduling

    • Muzaffer Kapanoglu, Ilker Ozan Koc
    Pages 28-41

  5. Improvement in the Performance of Island Based Genetic Algorithms Through Path Relinking

    • Luis delaOssa, José A. Gámez, José M. Puerta
    Pages 42-56

  6. Using Datamining Techniques to Help Metaheuristics: A Short Survey

    • Laetitia Jourdan, Clarisse Dhaenens, El-Ghazali Talbi
    Pages 57-69

  7. An Iterated Local Search Heuristic for a Capacitated Hub Location Problem

    • Inmaculada Rodríguez-Martín, Juan-José Salazar-González
    Pages 70-81

  8. Using Memory to Improve the VNS Metaheuristic for the Design of SDH/WDM Networks

    • Belén Melián
    Pages 82-93

  9. Multi-level Ant Colony Optimization for DNA Sequencing by Hybridization

    • Christian Blum, Mateu Yábar Vallès
    Pages 94-109

  10. Hybrid Approaches for Rostering: A Case Study in the Integration of Constraint Programming and Local Search

    • Raffaele Cipriano, Luca Di Gaspero, Agostino Dovier
    Pages 110-123

  11. A Reactive Greedy Randomized Variable Neighborhood Tabu Search for the Vehicle Routing Problem with Time Windows

    • Panagiotis P. Repoussis, Dimitris C. Paraskevopoulos, Christos D. Tarantilis, George Ioannou
    Pages 124-138

  12. Incorporating Inference into Evolutionary Algorithms for Max-CSP

    • Madalina Ionita, Cornelius Croitoru, Mihaela Breaban
    Pages 139-149

  13. Scheduling Social Golfers with Memetic Evolutionary Programming

    • Carlos Cotta, Iván Dotú, Antonio J. Fernández, Pascal Van Hentenryck
    Pages 150-161

  14. Colour Reassignment in Tabu Search for the Graph Set T-Colouring Problem

    • Marco Chiarandini, Thomas Stützle, Kim S. Larsen
    Pages 162-177

  15. Investigation of One-Go Evolution Strategy/Quasi-Newton Hybridizations

    • Thomas Bartz-Beielstein, Mike Preuss, Günter Rudolph
    Pages 178-191

  16. Back Matter

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Other volumes

  1. Hybrid Metaheuristics

Keywords

About this book

The International Workshop on Hybrid Metaheuristics reached its third edition with HM 2006. The active and successful participation in the past editions was a clear indication that the research community on metaheuristics and related areas felt the need for a forum to discuss speci?c aspects of hybridization of metaheuristics. The selection of papers for HM 2006 consolidated some of the mainstream issues that have emerged from the past editions. Firstly, there are prominent examples of e?ective hybrid techniques whose design and implementation were motivated by challenging real-world applications. We believe this is particularly important for two reasons: on the one hand, researchers are conscious that the primary goal of developing algorithms is to solve relevant real-life problems; on the other hand, the path towarde?cient solving methods for practical problems is a source of new outstanding ideas and theories. A second important issue is that the research community on metaheur- tics has become increasingly interested in and open to techniques and methods known from arti?cial intelligence (AI) and operations research (OR). So far, the most representative examples of such integration have been the use of AI/OR techniques as subordinates of metaheuristic methods. As a historical and - ymological note, this is in perfect accordance with the original meaning of a metaheuristic as a “general strategy controlling a subordinate heuristic. ” The awareness of the need for a sound experimental methodology is a third keypoint.

Editors and Affiliations

  • Department of Statistics and Computer Science, La Laguna University Spain,  

    Francisco Almeida

  • Universitat Politècnica de Catalunya, Barcelona, Spain

    María J. Blesa Aguilera

  • ALBCOM, Dept. Llenguatges i Sistemes Informàtics, Universitat Politècnica de Catalunya, Barcelona, Spain

    Christian Blum

  • DEIOC, Universidad de La Laguna, Escuela Técnica Superior en Ingeniería Informática, La Laguna, Tenerife, Spain

    José Marcos Moreno Vega

  • Escuela Técnica Superior en Ingeniería Informática, Universidad de La Laguna, La Laguna, Tenerife, Spain

    Melquíades Pérez Pérez

  • DEIS, Campus of Cesena Alma Mater Studiorum, Università di Bologna, Cesena, Italy

    Andrea Roli

  • Université Libre de Bruxelles, Bruxelles, Belgium

    Michael Sampels

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