What is Computational Swarm Intelligence?

A Special Session of the 2009 IEEE Congress on Evolutionary Computation, Trondheim, Norway, May 18-21, 2009

Swarm Intelligence (SI) algorithms, often inspired by communication and interaction between social agents such as ants or bees share much in common with EA's. However the precise relationship remains vague and ill-defined.

Are there any principles underlying and distinguishing the behaviour of swarm algorithms?

The session will gather experts in adjacent and seemingly related fields of

in order to discuss issues such as overlaps between algorithms, their compatibility, and their essential differences as problem solvers.

Previous research directions have looked towards Physics and, in particular, Biology for new ideas. This session proposes that Computational Swarm intelligence is an autonomous aggregate of techniques that so far have not been unified. We are looking for a mathematical, algorithmic framework which will enable us to understand and analyse these algorithms.

The aim of this workshop is NOT to make comparisons between techniques, but rather to make comparisons at a conceptual level.

The session will seek to define the metaheuristics of Swarm Intelligence algorithms. A common framework is desirable for a number of reasons, including the following:

The workshop aims at addressing such issues from an explicitly theoretical rather than a heuristic perspective. The following contributions are welcomed:

Important Dates

Paper Submission: 1st November 2008
Decision Notification: 16th January 2009
Camera-ready Submission 16th February 2009

Special Session Organisers

Dr. T. Blackwell and Dr M. Bishop
Dept. Computing, Goldsmiths College
University of London, New Cross, SE14 6NW
Tel: +44 (0) 2070 787859
Fax: +44 (0) 2070 785048
E-mail: t.blackwell@gold.ac.uk

Dr. S. Nasuto
School of Systems Engineering
University of Reading, RG6 6AY