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© 2018

Swarm Intelligence

11th International Conference, ANTS 2018, Rome, Italy, October 29–31, 2018, Proceedings

  • Marco Dorigo
  • Mauro Birattari
  • Christian Blum
  • Anders L. Christensen
  • Andreagiovanni Reina
  • Vito Trianni
Conference proceedings ANTS 2018

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11172)

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 11172)

Table of contents

  1. Front Matter
    Pages I-XIV
  2. Full Papers

    1. Front Matter
      Pages 1-1
    2. Chiara Gabellieri, Marco Tognon, Lucia Pallottino, Antonio Franchi
      Pages 3-15
    3. Ken Hasselmann, Frédéric Robert, Mauro Birattari
      Pages 16-29
    4. Jonas Kuckling, Antoine Ligot, Darko Bozhinoski, Mauro Birattari
      Pages 30-43
    5. Marco Trabattoni, Gabriele Valentini, Marco Dorigo
      Pages 57-70
    6. Maximilian Hüttenrauch, Adrian Šošić, Gerhard Neumann
      Pages 71-83
    7. Payam Zahadat, Daniel Nicolas Hofstadler, Thomas Schmickl
      Pages 84-96
    8. Anna Font Llenas, Mohamed S. Talamali, Xu Xu, James A. R. Marshall, Andreagiovanni Reina
      Pages 135-149
    9. Zainab Husain, Dymitr Ruta, Fabrice Saffre, Yousof Al-Hammadi, Abdel F. Isakovic
      Pages 150-162
    10. Gary Pamparà, Andries P. Engelbrecht
      Pages 163-175
    11. Carlo Pinciroli, Mohamed S. Talamali, Andreagiovanni Reina, James A. R. Marshall, Vito Trianni
      Pages 176-187
    12. Michael Allwright, Navneet Bhalla, Carlo Pinciroli, Marco Dorigo
      Pages 188-200
    13. Christopher W. Cleghorn, Christiaan Scheepers, Andries P. Engelbrecht
      Pages 201-212
    14. Jorge Gomes, Anders Lyhne Christensen
      Pages 225-238

About these proceedings

Introduction

This book constitutes the proceedings of the 11th International Conference on Swarm Intelligence, ANTS 2018, held in Rome, Italy, in October 2018.

The 24 full papers and 12 short papers presented in this volume were carefully reviewed and selected from 69 submissions. They are devoted to the field of swarm intelligence as a whole, without any bias towards specific research directions.

Keywords

agents artificial intelligence combinatorial optimization communication discrete optimization evolutionary algorithms genetic algorithms learning algorithms machine learning multi-agent systems particle swarm optimization problem solving pso robotic autonomy robotic control robotics robots swarm robotics

Editors and affiliations

  1. 1.Université Libre de BruxellesBrusselsBelgium
  2. 2.Université Libre de BruxellesBrusselsBelgium
  3. 3.Artificial Intelligence Research InstituteBellaterraSpain
  4. 4.University of Southern DenmarkOdenseDenmark
  5. 5.University of SheffieldSheffieldUK
  6. 6.National Research CouncilRomeItaly

Bibliographic information

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