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Swarm‐based spatial sorting

Swarm‐based spatial sorting Purpose – The purpose of this paper is to present an algorithm for spatially sorting objects into an annular structure. Design/methodology/approach – A swarm‐based model that requires only stochastic agent behaviour coupled with a pheromone‐inspired “attraction‐repulsion” mechanism. Findings – The algorithm consistently generates high‐quality annular structures, and is particularly powerful in situations where the initial configuration of objects is similar to those observed in nature. Research limitations/implications – Experimental evidence supports previous theoretical arguments about the nature and mechanism of spatial sorting by insects. Practical implications – The algorithm may find applications in distributed robotics. Originality/value – The model offers a powerful minimal algorithmic framework, and also sheds further light on the nature of attraction‐repulsion algorithms and underlying natural processes. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Intelligent Computing and Cybernetics Emerald Publishing

Swarm‐based spatial sorting

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References (23)

Publisher
Emerald Publishing
Copyright
Copyright © 2008 Emerald Group Publishing Limited. All rights reserved.
ISSN
1756-378X
DOI
10.1108/17563780810893491
Publisher site
See Article on Publisher Site

Abstract

Purpose – The purpose of this paper is to present an algorithm for spatially sorting objects into an annular structure. Design/methodology/approach – A swarm‐based model that requires only stochastic agent behaviour coupled with a pheromone‐inspired “attraction‐repulsion” mechanism. Findings – The algorithm consistently generates high‐quality annular structures, and is particularly powerful in situations where the initial configuration of objects is similar to those observed in nature. Research limitations/implications – Experimental evidence supports previous theoretical arguments about the nature and mechanism of spatial sorting by insects. Practical implications – The algorithm may find applications in distributed robotics. Originality/value – The model offers a powerful minimal algorithmic framework, and also sheds further light on the nature of attraction‐repulsion algorithms and underlying natural processes.

Journal

International Journal of Intelligent Computing and Cybernetics – Emerald Publishing

Published: Aug 22, 2008

Keywords: Intelligence; Modelling; Cluster analysis; Programming and algorithm theory

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