Vanualailai, Jito and Sharma, Bibhya N. (2010) A Lagrangian-based Swarming Behavior in the Absence of Obstacles. [Conference Proceedings]
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Abstract
Lagrangian swarm models consider long-range attraction and short-range repulsion
between individuals, moving with the velocity of the swarm’s centroid, as a seed in the
formation of the swarm itself and its behavior. By constructing a Lyapunov function
based on this heuristic rule, we create a relatively simple gradient system which surprisingly
exhibits complex emergent or self-organized motions in the absence of fixed
or moving obstacles. The Lyapunov function contains an inter-individual collisionavoidance
component; hence the component is bounded, yet it guarantees collision
avoidance. Three parameters are utilized, and which we call cohesion parameter, coupling
parameter, and convergence parameter. They are, respectively, a measure of the
strengths of the cohesion of the swarm, the interaction between any two individuals and the instantaneous velocity of an individual with respect to the swarm centroid. By varying these parameters in a precise way, computer simulations show that for a sufficiently large number of individuals, our proposed model generates four types of swarming-like behaviors. They are (1) the cruise formation (linear or nonlinear) reminiscent of a cruising and leaderless school of fish, or a moving herd of land animals with a leader (leader-following), (2) random walks similar to the swarming behavior of fruit flies Drosophila melanogaster, (3) constant arrangements requiring individuals to aggregate and stop, as in fruiting body formation by bacteria, and (4) circular motions reminiscent of the behavior of a school of fish when threatened by a predator.
Item Type: | Conference Proceedings |
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Subjects: | Q Science > QA Mathematics |
Divisions: | Faculty of Science, Technology and Environment (FSTE) > School of Computing, Information and Mathematical Sciences |
Depositing User: | Ms Shalni Sanjana |
Date Deposited: | 15 Apr 2014 04:36 |
Last Modified: | 23 Sep 2016 02:59 |
URI: | https://repository.usp.ac.fj/id/eprint/7380 |
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