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

被引：3
作者：
Zhang, Xiangyin [1 ]
Fan, Suyao [1 ]
Wu, Weihuan [1 ]
机构：
[1] Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
来源：
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS | 2023年 / 629卷
基金：
中国国家自然科学基金;
关键词：
Vicsek model; Synchronization; Self -propelled particles; Topology distance interaction; COLLECTIVE MOTION; MODEL;
D O I：
10.1016/j.physa.2023.129203
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
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. (c) 2023 Elsevier B.V. All rights reserved.
引用
收藏
页数：10
相关论文
共 28 条
  • [1] Interaction ruling animal collective behavior depends on topological rather than metric distance: Evidence from a field study
    Ballerini, M.
    Calbibbo, N.
    Candeleir, R.
    Cavagna, A.
    Cisbani, E.
    Giardina, I.
    Lecomte, V.
    Orlandi, A.
    Parisi, G.
    Procaccini, A.
    Viale, M.
    Zdravkovic, V.
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2008, 105 (04) : 1232 - 1237
  • [2] Large-Scale Patterns in a Minimal Cognitive Flocking Model: Incidental Leaders, Nematic Patterns, and Aggregates
    Barberis, Lucas
    Peruani, Fernando
    [J]. PHYSICAL REVIEW LETTERS, 2016, 117 (24)
  • [3] Applications of Monte Carlo methods to statistical physics
    Binder, K
    [J]. REPORTS ON PROGRESS IN PHYSICS, 1997, 60 (05) : 487 - 559
  • [4] Limited interactions in flocks: relating model simulations to empirical data
    Bode, Nikolai W. F.
    Franks, Daniel W.
    Wood, A. Jamie
    [J]. JOURNAL OF THE ROYAL SOCIETY INTERFACE, 2011, 8 (55) : 301 - 304
  • [5] Information transfer in finite flocks with topological interactions
    Brown, Joshua M.
    Bossomaier, Terry
    Barnett, Lionel
    [J]. JOURNAL OF COMPUTATIONAL SCIENCE, 2021, 53
  • [6] The Role of Neighbours Selection on Cohesion and Order of Swarms
    Calvao, Angelo M.
    Brigatti, Edgardo
    [J]. PLOS ONE, 2014, 9 (05):
  • [7] Enhancing convergence efficiency of self-propelled agents using direction preference
    Chen, Yu-Rong
    Zhang, Xian-Xia
    Yu, Yin-Sheng
    Ma, Shi-Wei
    Yang, Banghua
    [J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2022, 586
  • [8] Collective memory and spatial sorting in animal groups
    Couzin, ID
    Krause, J
    James, R
    Ruxton, GD
    Franks, NR
    [J]. JOURNAL OF THEORETICAL BIOLOGY, 2002, 218 (01) : 1 - 11
  • [9] First-order phase transition in a model of self-propelled particles with variable angular range of interaction
    Durve, Mihir
    Sayeed, Ahmed
    [J]. PHYSICAL REVIEW E, 2016, 93 (05)
  • [10] Collective motion of groups of self-propelled particles following interacting leaders
    Ferdinandy, B.
    Ozogany, K.
    Vicsek, T.
    [J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2017, 479 : 467 - 477
123