This special issue will focus on new advances on swarm intelligence including the theory and applications. Swarm intelligence is the discipline that deals with natural and artificial systems composed of many individuals that coordinate their activities using decentralized control and self-organization. In particular, the discipline focuses on the collective behaviours that result from the local interactions of the individuals with each other and with their environment.
Examples of systems studied by swarm intelligence are colonies of ants and termites, schools of fish, flocks of birds, herds of land animals. Some human artefacts also fall into the domain of swarm intelligence, notably some multi-robot systems, and also certain computer programs that are written to tackle optimization and data analysis problems.
The objective of this special issue is to bring researchers from academia and industry together to report and review the latest progresses in this field, and to explore future directions.
Relevant topics include, but are not limited to, the following:
- Theory advances in swarm intelligence
- Development on swarm intelligent algorithms
- Swarm-based scheduling and planning
- Swarm-based robotics
- Swarm-based system engineering
- Other applications of swarm intelligence
The deadline for submission: 1 October, 2010
Acceptance Notification:1 January, 2011
Revised Version: 1 March, 2011
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