Swarm Intelligence is the principal peer-reviewed publication dedicated to reporting on research

and developments in the multidisciplinary field of swarm intelligence. The journal publishes

original research articles and occasional review articles on theoretical, experimental and/or

practical aspects of swarm intelligence. All articles are published both in print and in electronic

form. There are no page charges for publication. Swarm Intelligence is published quarterly.

The field of swarm intelligence deals with systems composed of many individuals that coordinate

using decentralized control and self-organization. In particular, it focuses on the collective

behaviors that result from the local interactions of the individuals with each other and with their

environment. It is a fast-growing field that encompasses the efforts of researchers in multiple

disciplines, ranging from ethology and social science to operations research and computer

engineering.


Swarm Intelligence will report on advances in the understanding and utilization of swarm

intelligence systems, that is, systems that are based on the principles of swarm intelligence. The

following subjects are of particular interest to the journal:

• modeling and analysis of collective biological systems such as social insect colonies, flocking

vertebrates, and human crowds as well as any other swarm intelligence systems;

• application of biological swarm intelligence models to real-world problems such as distributed

computing, data clustering, graph partitioning, optimization and decision making;

• theoretical and empirical research in ant colony optimization, particle swarm optimization,

swarm robotics, and other swarm intelligence algorithms.