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Modelling, Analysis, and Optimization of Three-Dimensional Restricted Visual Field Metric-Free Swarms

Qing Li, Lingwei Zhang, View ORCID ProfileYongnan Jia, Tianzhao Lu
doi: https://doi.org/10.1101/2021.05.24.445404
Qing Li
1School of Automation and Electrical Engineering, Key Laboratory of Knowledge, Automation for Industrial Processes of Ministry of Education, University of Science and Technology Beijing, Beijing, 100083, P. R. China
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Lingwei Zhang
1School of Automation and Electrical Engineering, Key Laboratory of Knowledge, Automation for Industrial Processes of Ministry of Education, University of Science and Technology Beijing, Beijing, 100083, P. R. China
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Yongnan Jia
1School of Automation and Electrical Engineering, Key Laboratory of Knowledge, Automation for Industrial Processes of Ministry of Education, University of Science and Technology Beijing, Beijing, 100083, P. R. China
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  • For correspondence: ynjia@pku.edu.cn
Tianzhao Lu
2Faculty of Engineering, Architecture, and Information Technology, The University of Queensland, Brisbane, QLD, 4072, Australia
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Abstract

Models of collective behaviour have been proved helpful in revealing what mechanism may underlie characteristics of a flock of birds, a school of fish, and a swarm of herds. Recently, the metric-free model gradually occupies a dominant position in the research field of collective intelligence. Most of these models endow every single individual with the ability of a global visual field, which can offer each particle sufficient external information. In this paper, we mainly focus on whether the global visual field is necessary to form a consistent and cohesive group or not. Inspired by the biological characteristic of starlings, we develop a three-dimensional restricted visual field metric-free(RVFMF) model based on Pearce and Turner’s previous work. We further investigate several vital factors governing the convergent consistency of the RVFMF model with the assistance of extensive numerical simulations. According to the simulation results, we conclude that the best view angle of each particle in a swarm increases with the expansion of the population size. Besides, the best view angle gradually becomes stable around 155 degrees when the population size is larger than 1000. We also offer quantitative analysis data to prove that a flock of birds could obtain better consistency under optimal restricted visual field than under global visual field.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted May 24, 2021.
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Modelling, Analysis, and Optimization of Three-Dimensional Restricted Visual Field Metric-Free Swarms
Qing Li, Lingwei Zhang, Yongnan Jia, Tianzhao Lu
bioRxiv 2021.05.24.445404; doi: https://doi.org/10.1101/2021.05.24.445404
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Modelling, Analysis, and Optimization of Three-Dimensional Restricted Visual Field Metric-Free Swarms
Qing Li, Lingwei Zhang, Yongnan Jia, Tianzhao Lu
bioRxiv 2021.05.24.445404; doi: https://doi.org/10.1101/2021.05.24.445404

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