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 |
|---|---|
| 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 - Jan 1 2014 |
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Keywords
- Bio-inspired methods
- curve evolutions
- multi-agent foraging
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Control and Systems Engineering
- Computer Science Applications
Cite this
Efficient foraging strategies in multi-agent systems through curve evolutions. / Haque, Musad; Rahmani, Amir; Egerstedt, Magnus; Yezzi, Anthony.
In: IEEE Transactions on Automatic Control, Vol. 59, No. 4, 2281877, 01.01.2014, p. 1036-1041.Research output: Contribution to journal › Article
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TY - JOUR
T1 - Efficient foraging strategies in multi-agent systems through curve evolutions
AU - Haque, Musad
AU - Rahmani, Amir
AU - Egerstedt, Magnus
AU - Yezzi, Anthony
PY - 2014/1/1
Y1 - 2014/1/1
N2 - 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.
AB - 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.
KW - Bio-inspired methods
KW - curve evolutions
KW - multi-agent foraging
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UR - http://www.scopus.com/inward/citedby.url?scp=84897442391&partnerID=8YFLogxK
U2 - 10.1109/TAC.2013.2281877
DO - 10.1109/TAC.2013.2281877
M3 - Article
AN - SCOPUS:84897442391
VL - 59
SP - 1036
EP - 1041
JO - IEEE Transactions on Automatic Control
JF - IEEE Transactions on Automatic Control
SN - 0018-9286
IS - 4
M1 - 2281877
ER -