Enhancing synchronization of self-propelled particles via modified rule of fixed number of neighbors

Xiangyin Zhang, Suyao Fan and Weihuan Wu

Physica A: Statistical Mechanics and its Applications, 2023, vol. 629, issue C

Abstract: In recent years, the well-developed Vicsek model has attracted more and more attention. The topological distance interaction among the neighboring self-propelled particles allows particle interact with fixed number of neighbors (FNN). This paper proposed the modified FNN rule (MFNN) to select the more effective neighboring particles, in which the fixed-number neighbors are uniform distributed in all directions around The MFNN rule can optimize the distribution of neighboring information for the collective motion. The results of the simulations demonstrate that the MFNN-based Vicsek model will converge much faster and will also enhance the capability of the anti-noise interference.

Keywords: Vicsek model; Synchronization; Self-propelled particles; Topology distance interaction (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437123007586
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:629:y:2023:i:c:s0378437123007586

DOI: 10.1016/j.physa.2023.129203

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().