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

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  • Zhang, Xiangyin
  • Fan, Suyao
  • Wu, Weihuan

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.

Suggested Citation

  • Zhang, Xiangyin & Fan, Suyao & Wu, Weihuan, 2023. "Enhancing synchronization of self-propelled particles via modified rule of fixed number of neighbors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 629(C).
    • Handle: RePEc:eee:phsmap:v:629:y:2023:i:c:s0378437123007586
    DOI: 10.1016/j.physa.2023.129203
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    References listed on IDEAS

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    1. Niizato, Takayuki & Gunji, Yukio-Pegio, 2011. "Metric–topological interaction model of collective behavior," Ecological Modelling, Elsevier, vol. 222(17), pages 3041-3049.
    2. Yang, Han-Xin & Rong, Zhihai, 2015. "Promoting collective motion of self-propelled agents by discarding short-range interactions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 432(C), pages 180-186.
    3. Zhang, Jue & Zhao, Yang & Tian, Baomei & Peng, Liqian & Zhang, Hai-Tao & Wang, Bing-Hong & Zhou, Tao, 2009. "Accelerating consensus of self-driven swarm via adaptive speed," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(7), pages 1237-1242.
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