Raposo E P, Buldyrev Sergey V, da Luz M G E, Santos M C, Stanley H Eugene, Viswanathan G M
Laboratório de Física Teórica e Computacional, Departamento de Física, Universidade Federal de Pernambuco, 50670-901, Recife-PE, Brazil.
Phys Rev Lett. 2003 Dec 12;91(24):240601. doi: 10.1103/PhysRevLett.91.240601.
We study the role of dynamical constraints in the general problem of finding the best statistical strategy for random searching when the targets can be detected only in the limited vicinity of the searcher. We find that the optimal search strategy depends strongly on the delay time tau during which a previously visited site becomes unavailable. We also find that the optimal search strategy is always described for large step lengths l by a power-law distribution P(l) approximately l(-mu), with 1<mu(tau)</=2. Our findings appear to remain valid even if arbitrary energy costs of locomotion are considered.
我们研究了动态约束在随机搜索最佳统计策略这一普遍问题中的作用,此时目标只能在搜索者的有限邻域内被检测到。我们发现,最优搜索策略强烈依赖于延迟时间τ,在此期间先前访问过的位置变得不可用。我们还发现,对于大步长l,最优搜索策略总是由幂律分布P(l)近似为l^(-μ)来描述,其中1 < μ(τ) ≤ 2。即使考虑了任意的运动能量成本,我们的发现似乎仍然有效。