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Swarm Intelligence

9th International Conference, ANTS 2014, Brussels, Belgium, September 10-12, 2014. Proceedings

  • Conference proceedings
  • © 2014

Overview

Editors:
  1. Marco Dorigo

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

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  2. Mauro Birattari

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

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  3. Simon Garnier

    1. New Jersey Institute of Technology, Rutgers University, Newark, USA

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  4. Heiko Hamann

    1. Department of Computer Science, University of Paderborn, Paderborn, Germany

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  5. Marco Montes de Oca

    1. Department of Mathematical Sciences, University of Delaware, Newark, USA

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  6. Christine Solnon

    1. LIRIS, INSA de Lyon, Villeurbanne Cedex, France

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  7. 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 8667)

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

Included in the following conference series:

Conference proceedings info: ANTS 2014.

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Table of contents (26 papers)

  1. Front Matter

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  2. A Novel Ant Colony Algorithm for Building Neural Network Topologies

    • Khalid Salama, Ashraf M. Abdelbar
    Pages 1-12

  3. An ACO Algorithm to Solve an Extended Cutting Stock Problem for Scrap Minimization in a Bar Mill

    • Diego Díaz, Pablo Valledor, Paula Areces, Jorge Rodil, Montserrat Suárez
    Pages 13-24

  4. An Experiment in Automatic Design of Robot Swarms

    • Gianpiero Francesca, Manuele Brambilla, Arne Brutschy, Lorenzo Garattoni, Roman Miletitch, Gaëtan Podevijn et al.
    Pages 25-37

  5. Angle Modulated Particle Swarm Variants

    • Barend J. Leonard, Andries P. Engelbrecht
    Pages 38-49

  6. Ant Colony Optimization on a Budget of 1000

    • Leslie Pérez Cáceres, Manuel López-Ibáñez, Thomas Stützle
    Pages 50-61

  7. Application of Supervisory Control Theory to Swarms of e-puck and Kilobot Robots

    • Yuri K. Lopes, André B. Leal, Tony J. Dodd, Roderich Groß
    Pages 62-73

  8. Can Frogs Find Large Independent Sets in a Decentralized Way? Yes They Can!

    • Christian Blum, Maria J. Blesa, Borja Calvo
    Pages 74-85

  9. Diversity Rate of Change Measurement for Particle Swarm Optimisers

    • Phlippie Bosman, Andries P. Engelbrecht
    Pages 86-97

  10. Evolutionary Swarm Robotics: Genetic Diversity, Task-Allocation and Task-Switching

    • Elio Tuci
    Pages 98-109

  11. Influencing a Flock via Ad Hoc Teamwork

    • Katie Genter, Peter Stone
    Pages 110-121

  12. MACOC: A Medoid-Based ACO Clustering Algorithm

    • Héctor D. Menéndez, Fernando E. B. Otero, David Camacho
    Pages 122-133

  13. Particle Swarm Convergence: Standardized Analysis and Topological Influence

    • Christopher W. Cleghorn, Andries P. Engelbrecht
    Pages 134-145

  14. Scheduling a Galvanizing Line by Ant Colony Optimization

    • Silvino Fernandez, Segundo Alvarez, Diego Díaz, Miguel Iglesias, Borja Ena
    Pages 146-157

  15. SRoCS: Leveraging Stigmergy on a Multi-robot Construction Platform for Unknown Environments

    • Michael Allwright, Navneet Bhalla, Haitham El-faham, Anthony Antoun, Carlo Pinciroli, Marco Dorigo
    Pages 158-169

  16. Swarm in a Fly Bottle: Feedback-Based Analysis of Self-organizing Temporary Lock-ins

    • Heiko Hamann, Gabriele Valentini
    Pages 170-181

  17. Temporal Task Allocation in Periodic Environments

    • Manuel Castillo-Cagigal, Arne Brutschy, Alvaro Gutiérrez, Mauro Birattari
    Pages 182-193

  18. Towards a Cognitive Design Pattern for Collective Decision-Making

    • Andreagiovanni Reina, Marco Dorigo, Vito Trianni
    Pages 194-205

  19. Short Papers

    1. A Novel Competitive Quantum-Behaviour Evolutionary Multi-Swarm Optimizer Algorithm Based on CUDA Architecture Applied to Constrained Engineering Design

      • Daniel Leal Souza, Otávio Noura Teixeira, Dionne Cavalcante Monteiro, Roberto Célio Limão de Oliveira, Marco Antônio Florenzano Mollinetti
      Pages 206-213

    2. Cooperative Object Recognition: Behaviours of a Artificially Evolved Swarm

      • David King, Philip Breedon
      Pages 214-221
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Other volumes

  1. Swarm Intelligence

Keywords

About this book

This book constitutes the proceedings of the 9th International Conference on Swarm Intelligence, held in Brussels, Belgium, in September 2014. This volume contains 17 full papers, 9 short papers, and 7 extended abstracts carefully selected out of 55 submissions. The papers cover empirical and theoretical research in swarm intelligence such as: behavioral models of social insects or other animal societies, ant colony optimization, particle swarm optimization, swarm robotics systems.

Editors and Affiliations

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

    Marco Dorigo, Thomas Stützle

  • IRIDIA, Université Libre de Bruxelles, Brussels, Belgium

    Mauro Birattari

  • New Jersey Institute of Technology, Rutgers University, Newark, USA

    Simon Garnier

  • Department of Computer Science, University of Paderborn, Paderborn, Germany

    Heiko Hamann

  • Department of Mathematical Sciences, University of Delaware, Newark, USA

    Marco Montes de Oca

  • LIRIS, INSA de Lyon, Villeurbanne Cedex, France

    Christine Solnon

Bibliographic Information

  • Book Title: Swarm Intelligence

  • Book Subtitle: 9th International Conference, ANTS 2014, Brussels, Belgium, September 10-12, 2014. Proceedings

  • Editors: Marco Dorigo, Mauro Birattari, Simon Garnier, Heiko Hamann, Marco Montes de Oca, Christine Solnon, Thomas Stützle

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-319-09952-1

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer International Publishing Switzerland 2014

  • Softcover ISBN: 978-3-319-09951-4Published: 31 July 2014

  • eBook ISBN: 978-3-319-09952-1Published: 03 September 2014

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XIV, 294

  • Number of Illustrations: 85 b/w illustrations

  • Topics: Mathematics of Computing, Algorithm Analysis and Problem Complexity, Artificial Intelligence

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