Abstract
In nature, communal hunting is often performed by predators charging through an aggregation of prey. Variations exist in the geometric shape of the charging front depending on the particulars of the feeding strategy. Inspired by biology, this technical note investigates these geometric variations, and we model the predator front as a curve moving through a prey density. Using variational arguments for evolving the curve shape, we optimize the shape of the front.
| Original language | English (US) |
|---|---|
| Article number | 2281877 |
| Pages (from-to) | 1036-1041 |
| Number of pages | 6 |
| Journal | IEEE Transactions on Automatic Control |
| Volume | 59 |
| Issue number | 4 |
| DOIs | |
| State | Published - Apr 2014 |
Keywords
- Bio-inspired methods
- curve evolutions
- multi-agent foraging
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Control and Systems Engineering
- Computer Science Applications
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Cite this
Haque, M., Rahmani, A., Egerstedt, M., & Yezzi, A. (2014). Efficient foraging strategies in multi-agent systems through curve evolutions. IEEE Transactions on Automatic Control, 59(4), 1036-1041. [2281877]. https://doi.org/10.1109/TAC.2013.2281877