Swarm-Based Spatial Sorting
Abstract
Purpose: 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.
Cite
@article{arxiv.0805.1727,
title = {Swarm-Based Spatial Sorting},
author = {Martyn Amos and Oliver Don},
journal= {arXiv preprint arXiv:0805.1727},
year = {2008}
}
Comments
Accepted by the Int. J. Intelligent Computing and Cybernetics