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相关论文: Optimal L\'{e}vy-flight foraging in a finite lands…

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Optimal random foraging strategy has gained increasing concentrations. It is shown that L\'evy flight is more efficient compared with the Brownian motion when the targets are sparse. However, standard L\'evy flight generally cannot be…

统计力学 · 物理学 2018-06-05 Yuquan Chen , Derek Hollenbeck , Yong Wang , YangQuan Chen

Animals foraging alone are hypothesized to optimize the encounter rates with resources through L\'evy walks. However, the issue of how the interactions between multiple foragers influence their search efficiency is still not completely…

生物物理 · 物理学 2013-11-12 Kunal Bhattacharya , Tamás Vicsek

In many random search processes of interest in chemistry, biology or during rescue operations, an entity must find a specific target site before the latter becomes inactive, no longer available for reaction or lost. We present exact results…

统计力学 · 物理学 2024-02-16 Denis Boyer , Gabriel Mercado-Vásquez , Satya N. Majumdar , Grégory Schehr

We consider a forager diffusing via a fractional heat equation and we introduce several efficiency functionals whose optimality is discussed in relation to the L\'evy exponent of the evolution equation. Several biological scenarios, such as…

偏微分方程分析 · 数学 2022-07-21 Serena Dipierro , Giovanni Giacomin , Enrico Valdinoci

We consider a stationary prey in a given region of space and we aim at detecting optimal foraging strategies. On the one hand, when the prey is uniformly distributed, the best possible strategy for the forager is to be stationary and…

最优化与控制 · 数学 2025-08-20 Serena Dipierro , Giovanni Giacomin , Enrico Valdinoci

L\'{e}vy flights is a random walk where the step-lengths have a probability distribution that is heavy-tailed. It has been shown that L\'{e}vy flights can maximize the efficiency of resource searching in uncertain environments, and also…

神经与进化计算 · 计算机科学 2019-06-11 Jiamin Wei , YangQuan Chen , Yongguang Yu , Yuquan Chen

This book chapter introduces to the problem to which extent search strategies of foraging biological organisms can be identified by statistical data analysis and mathematical modeling. A famous paradigm in this field is the Levy Flight…

统计力学 · 物理学 2018-04-12 R. Klages

L\'evy walks are random walk processes whose step-lengths follow a long-tailed power-law distribution. Due to their abundance as movement patterns of biological organisms, significant theoretical efforts have been devoted to identifying the…

数据结构与算法 · 计算机科学 2021-07-23 Brieuc Guinard , Amos Korman

Multiple-scale mobility is ubiquitous in nature and has become instrumental for understanding and modeling animal foraging behavior. However, the impact of individual movements on the long-term stability of populations remains largely…

种群与进化 · 定量生物学 2018-04-04 Teodoro Dannemann , Denis Boyer , Octavio Miramontes

Levy flights are known to be optimal search strategies in the particular case of revisitable targets. In the relevant situation of non revisitable targets, we propose an alternative model of bidimensional search processes, which explicitly…

统计力学 · 物理学 2009-11-11 O. Benichou , C. Loverdo , M. Moreau , R. Voituriez

Animal movements have been related to optimal foraging strategies where self-similar trajectories are central. Most of the experimental studies done so far have focused mainly on fitting statistical models to data in order to test for…

种群与进化 · 定量生物学 2015-06-23 Octavio Miramontes , Og DeSouza , Leticia Ribeiro Paiva , Alessandra Marins , Sirio Orozco

The L\'evy flight foraging hypothesis asserts that biological organisms have evolved to employ (truncated) L\'evy flight searches due to such strategies being more efficient than those based on Brownian motion. However, we provide here a…

统计力学 · 物理学 2024-04-12 J. C. Tzou , Leo Tzou

It is widely accepted that inverse square L\'evy walks are optimal search strategies because they maximize the encounter rate with sparse, randomly distributed, replenishable targets when the search restarts in the vicinity of the…

In natural foraging, many organisms seem to perform two different types of motile search: directed search (taxis) and random search. The former is observed when the environment provides cues to guide motion towards a target. The latter…

统计力学 · 物理学 2017-12-27 Łukasz Kuśmierz , Taro Toyoizumi

The foraging behavior of animals is a paradigm of target search in nature. Understanding which foraging strategies are optimal and how animals learn them are central challenges in modeling animal foraging. While the question of optimality…

统计力学 · 物理学 2024-04-15 Gorka Muñoz-Gil , Andrea López-Incera , Lukas J. Fiderer , Hans J. Briegel

We investigated the relationships between search efficiency, movement strategy, and non-local communication in the biological context of animal foraging. We considered situations where the members of a population of foragers perform either…

统计力学 · 物理学 2014-03-28 Ricardo Martinez-Garcia , Justin M. Calabrese , Cristobal Lopez

We study the efficiency of random search processes based on L{\'e}vy flights with power-law distributed jump lengths in the presence of an external drift, for instance, an underwater current, an airflow, or simply the bias of the searcher…

统计力学 · 物理学 2014-12-24 Vladimir V. Palyulin , Aleksei V. Chechkin , Ralf Metzler

The L\'evy flight foraging hypothesis states that organisms must have evolved adaptations to exploit L\'evy walk search strategies. Indeed, it is widely accepted that inverse square L\'evy walks optimize the search efficiency in foraging…

In this paper we propose and advocate the use of the so called L\'evy flights as a driving mechanism for a class of stochastic optimization computations. This proposal, for some reasons overlooked until now, is - in author's opinion - very…

数学物理 · 物理学 2007-05-23 Marek Gutowski

Bird migration is an adaptive behavior ultimately aiming at optimizing survival and reproductive success. We propose an optimal switching model to study bird migration, where birds' migration behaviors can be efficiently modeled as…

最优化与控制 · 数学 2025-01-14 Jiawei Chu , King-Yeung Lam , Boyu Wang , Tong Wang
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