Flocks, herds and schools: A distributed behavioral model
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
A framework and analysis for cooperative search using UAV swarms
Proceedings of the 2004 ACM symposium on Applied computing
The dawning of the autonomic computing era
IBM Systems Journal
Self-Management: The Solution to Complexity or Just Another Problem?
IEEE Distributed Systems Online
Factors governing the behavior of multiple cooperating swarms
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
A swarm algorithm for wayfinding in dynamic virtual worlds
Proceedings of the ACM symposium on Virtual reality software and technology
Performance analysis of the AntNet algorithm
Computer Networks: The International Journal of Computer and Telecommunications Networking
AntNet: distributed stigmergetic control for communications networks
Journal of Artificial Intelligence Research
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Applying swarm behavior in computing environments as a novel approach is appeared to be an efficient solution to face critical challenges of the modern cyber world. The emergent improvements of a swarm-based system depend on the selected architecture and the appropriate assignments of the system parameters. To have an improved system, swarm characteristics such as agents/individuals, groups/clusters and communication/interactions should be appropriately characterized according to the system mission. Simulation is one of the best processes to monitor the efficiency of each systems' functionality before its real implementation. Because of the novel and special nature of swarm-based systems, a clear roadmap toward swarm simulation is needed and the process of assigning and evaluating the important parameters should be introduced. This paper in going to determine the important swarm characteristics in simulation phase and explain evaluation methods for important swarm parameters. It also introduces simulation methods of the swarm sub-systems in an artificial world. To clarify the proposed strategies, the AntNet routing algorithm simulation and performance evaluation process is studied according to the proposed methods.