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Ant Colony optimization (ACO) [1] is a computational model of swarm intelligence which provides efficient solutions to some optimization problems.
Sibson (1996) suggested a model of swarm activity in which earthquakes are triggered by fluid migration through a highly permeable structure.
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Fungal mycelial cords could serve as a model example of swarming in a multi-cellular, non-animal system.
WITH three Afghan government ministries in Kabul hit by simultaneous suicide attacks this week, by a total of just eight terrorists, it seems that a new "Mumbai model" of swarming, smaller-scale terrorist violence is emerging.
Fig. 2 a Ultrastructure model of swarming phenomenon drive by side-by-side multicellular raft.
A locally Lipschitz continuous case was recently addressed in a different context for a model of swarming in [67].
Computer modeling of swarming communities was carried out using randomly moving bacterial agents that produce a signal S and a single secreted factor F as described previously [10].
For a low-complexity design, a generalized model of particle swarm optimization (PSO) technique is used.
We feel that such a role-sharing model of a swarm system could improve the construction process making it more efficient.
A generalized model of particle swarm optimization (PSO) technique is proposed as a low complexity method for adaptive centralized and distributed resource allocation in communication networks.
The work reported in this paper is motivated towards the development of a mathematical model for swarm systems based on macroscopic primitives.
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