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Swarm Intelligence

, Volume 9, Issue 2–3, pp 71–73 | Cite as

ANTS 2014 special issue: Editorial

  • Marco Dorigo
  • Mauro Birattari
  • Simon Garnier
  • Heiko Hamann
  • Marco A. Montes de Oca
  • Christine Solnon
  • Thomas Stützle
Article

This special issue of the Swarm Intelligence journal is dedicated to the publication of extended versions of the best papers presented at ANTS 2014, Ninth International Conference on Swarm Intelligence, which took place in Brussels on September 10–12, 2014.

The ANTS series of conferences has taken place at the Université Libre de Bruxelles, Brussels, Belgium, every other year since 1998. As in 2010 and in 2012 (for the seventh and eighth editions of the conference), the authors of the contributions accepted as full papers at the conference were invited to submit an extended version of their work for possible inclusion in this special issue.

Six of the submitted papers were accepted for publication after at least one round of reviews with comments by at least three referees. The review process for papers where one of the authors was also one of the editors of this special issue has been managed anonymously by one of the other guest editors.

The special issue opens with “A quantitative...

Keywords

Particle Swarm Optimization Swarm Intelligence Human Designer Standard Particle Swarm Optimization Robot Swarm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  1. 1.IRIDIAUniversité Libre de BruxellesBrusselsBelgium
  2. 2.Department of Biological SciencesNew Jersey Institute of TechnologyNewarkUSA
  3. 3.Department of Computer ScienceUniversity of PaderbornPaderbornGermany
  4. 4.Department of Mathematical SciencesUniversity of DelawareNewarkUSA
  5. 5.clypd, Inc.SomervilleUSA
  6. 6.LIRISCNRS & INSA LyonLyonFrance

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