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.
| Original language | English |
|---|---|
| Pages (from-to) | 454-473 |
| Number of pages | 20 |
| Journal | International Journal of Intelligent Computing and Cybernetics |
| Volume | 1 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 22 Aug 2008 |
| Externally published | Yes |
Keywords
- Cluster analysis
- Intelligence
- Modelling
- Programming and algorithm theory
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