摘要翻译：
基于长尾跳跃长度分布的随机游动过程（Levy walks）和局部搜索和弹道重新定位之间的间歇行为切换的搜索策略在随机目标发现问题中已经被证明是有益的。我们在这里研究这两种机制的结合：一个带有Levy分布重置的间歇过程。我们证明了Levy分布式重定位如何减少过采样，从而在稀有目标的临界情况下进一步优化间歇搜索策略。
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英文标题：
《The advantage of L\'evy strategies in intermittent search processes》
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作者：
Michael A. Lomholt, Tal Koren, Ralf Metzler, Joseph Klafter
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最新提交年份：
2007
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分类信息：

一级分类：Physics        物理学
二级分类：Statistical Mechanics        统计力学
分类描述：Phase transitions, thermodynamics, field theory, non-equilibrium phenomena, renormalization group and scaling, integrable models, turbulence
相变，热力学，场论，非平衡现象，重整化群和标度，可积模型，湍流
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英文摘要：
  Search strategies based on random walk processes with long-tailed jump length distributions (Levy walks) on the one hand and intermittent behavior switching between local search and ballistic relocation phases on the other, have been previously shown to be beneficial in stochastic target finding problems. We here study a combination of both mechanisms: an intermittent process with Levy distributed relocations. We demonstrate how Levy distributed relocations reduce oversampling and thus further optimize the intermittent search strategy in the critical situation of rare targets.
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PDF链接：
https://arxiv.org/pdf/709.2352