目标是寻找一个聪明的冲浪者,在混乱的流动中移动
Klaus M Frahm1, Dima L Shepelyansky1
1Laboratoire de Physique Théorique, IRSAMC, Université de Toulouse, CNRS, UPS, 31062 Toulouse, France.
Physical review. E
|December 20, 2023
概括
一个聪明的冲浪者可以有效地导航混乱的Ulam网络. 这个算法找到了对数复杂性的最佳路径,超过了混沌流量控制的天真方法.
科学领域:
- 复杂的系统复杂的系统.
- 混沌理论 混沌理论
- 网络科学 网络科学
背景情况:
- 该研究模拟了智能冲浪者在Ulam网络上的智能冲浪者,该网络来自奇里科夫的标准地图混乱动态.
- 乌拉姆网络是一个定向图,通过将相位空间分离成细胞来构建,形成马尔科夫链.
研究的目的:
- 开发一种高效的算法,使智能冲浪者能够在混乱的Ulam网络上在两个节点 (A和B) 之间找到最小阻力路径.
- 与天真方法相比,分析拟议的算法的计算复杂性和性能.
主要方法:
- 利用Ulam方法从混乱动态生成一个定向网络.
- 实施一种新的路径查找算法,该算法基于最小化反向过渡概率的总和.
- 分析前进和反向网络的分形交叉集上的路径最佳性.
主要成果:
- 智能浏览器算法在许多过渡中实现了路径查找,该路径随网络大小的对数增长.
- 聪明的冲浪者表现出与天真的冲浪者相比呈指数级优异的性能,最大限度地减少相位空间距离.
- 最佳路径搜索利用了分数集和埃尔多斯数的属性.
结论:
- 开发的算法为导航复杂,混乱的网络提供了一种有效的方法.
- 这些发现表明,在混乱的动态系统中,在运动控制方面有潜在的应用.
- 这项研究强调了基于网络的方法在理解混乱动态方面的有效性.
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