Swarm-Based Spatial Sorting

TL;DR

This paper introduces a swarm-based algorithm that efficiently sorts objects into annular structures using simple stochastic behaviors and pheromone-inspired mechanisms, with potential applications in robotics and insights into natural sorting processes.

Contribution

The paper presents a novel minimal algorithm for spatial sorting based on swarm intelligence and attraction-repulsion dynamics, inspired by natural insect behavior.

Findings

The algorithm reliably produces high-quality annular structures.

It is effective even with initial configurations similar to natural scenarios.

Experimental results support theoretical models of insect 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.