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Research on swarm consistent performance of improved Vicsek model with neighbors’ degree

Author

Listed:
  • Lu, Xinbiao
  • Zhang, Chi
  • Huang, Chen
  • Qin, Buzhi

Abstract

In the classical Vicsek model, it was found that the emergence of self-ordered motion in systems of particles when the direction of each particles’ motion of at the next moment is updated according to its all neighbors’ mean direction. However, the rapid increase of the number of particles and the complexity of particles’ interaction will lead to this progress’s time become too long. Therefore, in order to reduce the time from disorder to order, a novel strategy is proposed to make the directions of all particles’ motions reach consensus more quickly. In this rule, we introduce the value of neighbors’ degree according to the degree value, and select only part of the neighbor particles with larger degree. When the initial particles of swarm are connected, simulation results show that the emergence of consistent direction earlier in the improved Vicsek model than that in classical Vicsek model.

Suggested Citation

  • Lu, Xinbiao & Zhang, Chi & Huang, Chen & Qin, Buzhi, 2022. "Research on swarm consistent performance of improved Vicsek model with neighbors’ degree," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 588(C).
    • Handle: RePEc:eee:phsmap:v:588:y:2022:i:c:s0378437121008402
    DOI: 10.1016/j.physa.2021.126567
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    References listed on IDEAS

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    1. Ning, Bo & Ren, Quansheng & Zhao, Jianye, 2012. "Enhancing consensus in weighted networks with coupling time-delay," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(11), pages 3061-3068.
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