Optimal search strategies for hidden targets -: art. no. 198101
Optimal search strategies for hidden targets -: art. no. 198101
复制标题
DOI：
10.1103/physrevlett.94.198101
复制
发表时间：
2005-05-20
影响因子：
8.6
通讯作者：
Voituriez, R
中科院分区：
文献类型：
--
作者：
Bénichou, O;Coppey, M;Voituriez, R
找到随机隐藏目标的最快方法是什么？实验观察表明，觅食动物的搜索行为通常是间歇性的：主动搜索阶段与快速弹道运动阶段随机交替。在这里，我们通过分析计算目标的平均首次通过时间来研究这种两种状态搜索策略的效率。我们通过扩散过程对主动搜索阶段涉及的感知机制进行建模。我们表明，当“运动阶段”的平均持续时间变化为“搜索阶段”平均持续时间的 3/5 或 2/3 次方（具体取决于制度）时，搜索策略是最佳的。这种缩放解释了广泛物种的实验数据，这表明搜索轨迹的动力学是觅食者优化的决定因素，并且感知活动可以通过扩散过程充分描述。
What is the fastest way of finding a randomly hidden target? Experimental observations reveal that the search behavior of foraging animals is generally intermittent: active search phases randomly alternate with phases of fast ballistic motion. Here, we study the efficiency of this two state search strategy by calculating analytically the mean first passage time at the target. We model the perception mechanism involved in the active search phase by a diffusive process. We show that the search strategy is optimal when the average duration of "motion phases" varies like the power either 3/5 or 2/3 of the average duration of "search phases," depending on the regime. This scaling accounts for experimental data over a wide range of species, which suggests that the kinetics of search trajectories is a determining factor optimized by foragers and that the perception activity is adequately described by a diffusion process.