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黎曼流形上的粒子群运动模型

唐伦潇 蔚涛 罗懋康

四川大学学报(自然科学版)2024,Vol.61Issue(3):62-68,7.
四川大学学报(自然科学版)2024,Vol.61Issue(3):62-68,7.DOI:10.19907/j.0490-6756.2024.031002

黎曼流形上的粒子群运动模型

Particle swarm motion model on Riemannian manifolds

唐伦潇 1蔚涛 1罗懋康1

作者信息

  • 1. 四川大学数学学院,成都 610064
  • 折叠

摘要

Abstract

The motion patterns of biological swarms in nature are diverse and even amazing.The complexity of spaces in which biological swarms move plays a key role to this diversity.To model the synergistic motion of biological swarms,many particle swarm motion models are introduced and exploited.However,by now these models can still describe some simple motion patterns of biological swarms.In this paper we introduce a new motion model based on the Morse potentials and Riemannian manifolds.This model can describe the mo-tion of biological swarms in any kind of space and can be easily implemented in engineering.To numerically explore the effect of the geometry of Reimann surface on the model,we take sphere surface,torus,Möbius band and hilly terrain-like surface as a representation of compactness,genus,non-orientability and Gaussian curvature,respectively.It is shown that compactness can help the particle swarm aggregate into homoge-neous pattern,non-zero genus can make agents'velocities become identical and thus prevent the emergence of vortex,non-orientability can diffuse the particle swarm,and Gaussian curvature has little influence on the model.Meanwhile,we also check the performance of the model with Reimann surfaces including one,two and three obstacles.It is shown that the particle swarm can move directly to the target or enclose the target and avoid the obstacles for suitable potential strengths.To summarize,our model can describe more motion patterns of biological swarms than the known models.

关键词

粒子群/协同运动/黎曼流形/迴避

Key words

Particle swarm/Synergistic motion model/Riemannian manifold/Obstacle avoidance

分类

数理科学

引用本文复制引用

唐伦潇,蔚涛,罗懋康..黎曼流形上的粒子群运动模型[J].四川大学学报(自然科学版),2024,61(3):62-68,7.

基金项目

国防科技创新特区项目(1816311ZT00300601) (1816311ZT00300601)

四川大学学报(自然科学版)

OA北大核心CSTPCD

0490-6756

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