在子系统重新启动下的伯努利试验:两个竞争对手的搜索者正在寻找目标
R K Singh1, R Metzler2,3, T Sandev4,5,6
1Department of Biomedical Engineering, Ben-Gurion University of the Negev, Be'er Sheva 85105, Israel.
Chaos (Woodbury, N.Y.)
|January 16, 2025
概括
重启可以提高高效搜索者的搜索效率,增加概率差异. 子系统重启和平均搜索时间显示对重启率的非单调依赖,影响搜索动态.
科学领域:
- 复杂的系统复杂的系统.
- 统计物理 统计物理
- 搜索理论 搜索理论
背景情况:
- 在各种自然和人工系统中,搜索过程是基本的.
- 了解搜索器效率和竞争对于优化搜索策略至关重要.
- "重新启动"对搜索动态的影响,特别是在竞争场景中,仍然是积极研究的领域.
研究的目的:
- 调查重新启动对竞争搜索器效率的影响.
- 分析子系统重启的后果,只有一位搜索器受到影响.
- 在重新启动条件下检查不同类型搜索器的平均搜索时间.
主要方法:
- 对于一个目标而竞争的独立搜索者的理论分析.
- 重启机制的建模及其对搜索概率的影响.
- 模拟和分析运行和和布朗运动搜索器.
主要成果:
- 重启会提高已经有效的搜索器的效率,扩大搜索概率的差距.
- 子系统重启引入了重启率和搜索概率之间的非单调关系.
- 运行和倒的平均搜索时间和布朗搜索器也表现出对重新启动率的非单调依赖.
结论:
- 重启可以显著改变竞争性搜索动态,往往有利于更高效的搜索者.
- 重启的具体实施 (全系统或子系统) 会导致不同的结果.
- 非单调的依赖性表明,可能存在最优的重启率,以尽量减少搜索时间或最大限度地提高效率.
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