A Collective Motion Algorithm for Tracking Time-Dependent Boundaries
Pattern Formation and Solitons
2007-05-23 v1 Adaptation and Self-Organizing Systems
Abstract
We present a numerical method that allows a formation of communicating agents to target the boundary of a time dependent concentration by following a time dependent concentration gradient. The algorithm motivated by \cite{MB, BKM}, allows the agents to move in space in a non-stationary environment. Our method is applicable to finding the boundary of any regular surface and may be of interest for for studying motions of swarms in biology, as well as to engineering applications where boundary detection is an issue.
Cite
@article{arxiv.nlin/0510012,
title = {A Collective Motion Algorithm for Tracking Time-Dependent Boundaries},
author = {Ioana Triandaf and Ira B. Schwartz},
journal= {arXiv preprint arXiv:nlin/0510012},
year = {2007}
}
Comments
23 pages, 11 figures. Mathematics and Computers in Simulation, in press