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Ant Colony Optimization and Swarm Intelligence

5th International Workshop, ANTS 2006, Brussels, Belgium, September 4-7, 2006, Proceedings

  • Conference proceedings
  • © 2006

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Editors:
  1. Marco Dorigo

    1. IRIDIA, CoDE, Université Libre de Bruxelles,,, Brussels, Belgium

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  2. Luca Maria Gambardella

    1. Istituto Dalle Molle di Studi sull’Intelligenza Artificiale (IDSIA), Lugano, Switzerland

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  3. Mauro Birattari

    1. IRIDIA, CoDE, Université Libre de Bruxelles, Brussels, Belgium

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  4. Alcherio Martinoli

    1. Swarm-Intelligent Systems Group, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland

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  5. Riccardo Poli

    1. Department of Computing and Electronic Systems, University of Essex, Colchester, UK

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  6. Thomas Stützle

    1. IRIDIA, CoDE, Université Libre de Bruxelles, Brussels, Belgium

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4150)

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

Included in the following conference series:

Conference proceedings info: ANTS 2006.

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Table of contents (62 papers)

  1. Front Matter

    Download chapter PDF

  2. A Comparison of Particle Swarm Optimization Algorithms Based on Run-Length Distributions

    1. A Comparison of Particle Swarm Optimization Algorithms Based on Run-Length Distributions

      • Marco A. Montes de Oca, Thomas Stützle, Mauro Birattari, Marco Dorigo
      Pages 1-12

    2. A Framework and Model for Soft Routing: The Markovian Termite and Other Curious Creatures

      • Martin Roth
      Pages 13-24

    3. A Stochastic Traffic Assignment Algorithm Based on Ant Colony Optimisation

      • Luca D’Acierno, Bruno Montella, Fortuna De Lucia
      Pages 25-36

    4. An Analysis of the Different Components of the AntHocNet Routing Algorithm

      • Frederick Ducatelle, Gianni A. Di Caro, Luca Maria Gambardella
      Pages 37-48

    5. An Energy-Efficient Ant-Based Routing Algorithm for Wireless Sensor Networks

      • Tiago Camilo, Carlos Carreto, Jorge Sá Silva, Fernando Boavida
      Pages 49-59

    6. An Enhanced Aggregation Pheromone System for Real-Parameter Optimization in the ACO Metaphor

      • Shigeyoshi Tsutsui
      Pages 60-71

    7. An Estimation of Distribution Particle Swarm Optimization Algorithm

      • Mudassar Iqbal, Marco A. Montes de Oca
      Pages 72-83

    8. Ant-Based Approach to the Knowledge Fusion Problem

      • David Martens, Manu De Backer, Raf Haesen, Bart Baesens, Christophe Mues, Jan Vanthienen
      Pages 84-95

    9. Beam-ACO Applied to Assembly Line Balancing

      • Christian Blum, Joaquín Bautista, Jordi Pereira
      Pages 96-107

    10. Boundary Search for Constrained Numerical Optimization Problems in ACO Algorithms

      • Guillermo Leguizamón, Carlos A. Coello Coello
      Pages 108-119

    11. Chain Based Path Formation in Swarms of Robots

      • Shervin Nouyan, Marco Dorigo
      Pages 120-131

    12. Communication, Leadership, Publicity and Group Formation in Particle Swarms

      • Riccardo Poli, William B. Langdon, Paul Marrow, Jim Kennedy, Maurice Clerc, Dan Bratton et al.
      Pages 132-143

    13. Covering a Continuous Domain by Distributed, Limited Robots

      • Eliyahu Osherovich, Alfred M. Bruckstein, Vladimir Yanovski
      Pages 144-155

    14. Incremental Local Search in Ant Colony Optimization: Why It Fails for the Quadratic Assignment Problem

      • Prasanna Balaprakash, Mauro Birattari, Thomas Stützle, Marco Dorigo
      Pages 156-166

    15. Individual Discrimination Capability and Collective Choice in Social Insects

      • Jesus Millor, José Halloy, Jean-Marc Amé, Jean-Louis Deneubourg
      Pages 167-178

    16. Iterated Ants: An Experimental Study for the Quadratic Assignment Problem

      • Wolfram Wiesemann, Thomas Stützle
      Pages 179-190

    17. Negotiation of Goal Direction for Cooperative Transport

      • Alexandre Campo, Shervin Nouyan, Mauro Birattari, Roderich Groß, Marco Dorigo
      Pages 191-202

    18. On \(\cal M\!AX\!\) – \(\cal MI\!N\!\) Ant System’s Parameters

      • Paola Pellegrini, Daniela Favaretto, Elena Moretti
      Pages 203-214

    19. On the Invariance of Ant System

      • Mauro Birattari, Paola Pellegrini, Marco Dorigo
      Pages 215-223
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  1. Ant Colony Optimization and Swarm Intelligence

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About this book

ANTS – The International Workshop on Ant Colony Optimization and Swarm Intelligence is now at its ?fth edition. The series started in 1998 with the - ganization of ANTS 1998. At that time the goal was to gather in a common meeting those researchers interested in ant colony optimization: more than 50 researchers from around the world joined for the ?rst time in Brussels, Belgium, to discuss ant colony optimization and swarm intelligence related research. A selectionofthebest paperspresentedatthe workshopwaspublished asa special issue of the Future Generation Computer Systems journal (Vol. 16, No. 8, 2000). Two years later, ANTS 2000, organized again in Brussels, attracted more than 70 participants. The 41 extended abstracts presented as talks or posters at the workshopwere collected in a booklet distributed to participants, and a selection of the best papers was published as a special section of the IEEE Transactions on Evolutionary Computation (Vol. 6, No. 4, 2002). After these ?rst two successful editions, it was decided to make of ANTS a seriesofbiannualeventswitho?cialworkshopproceedings.Thethirdandfourth editions were organized in September 2002 and September 2004, respectively. Proceedings were published by Springer within the Lecture Notes in Computer Science (LNCS) series. The proceedings of ANTS 2002, LNCS Volume 2463, contained 36 contri- tions: 17 full papers, 11 short papers, and 8 extended abstracts,selected out of a total of 52 submissions. Those of ANTS 2004, LNCS Volume 3172, contained 50 contributions:22 full papers, 19 shortpapers, and 9 extended abstracts,selected out of a total of 79 submissions.

Editors and Affiliations

  • IRIDIA, CoDE, Université Libre de Bruxelles,,, Brussels, Belgium

    Marco Dorigo

  • Istituto Dalle Molle di Studi sull’Intelligenza Artificiale (IDSIA), Lugano, Switzerland

    Luca Maria Gambardella

  • IRIDIA, CoDE, Université Libre de Bruxelles, Brussels, Belgium

    Mauro Birattari, Thomas Stützle

  • Swarm-Intelligent Systems Group, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland

    Alcherio Martinoli

  • Department of Computing and Electronic Systems, University of Essex, Colchester, UK

    Riccardo Poli

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