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Design of experiments, random search, initialization of population-based methods, or sampling inside an epoch of an evolutionary algorithm use a sample drawn according to some probability distribution for approximating the location of an…

神经与进化计算 · 计算机科学 2020-04-27 Laurent Meunier , Carola Doerr , Jeremy Rapin , Olivier Teytaud

Lexicase selection is a successful parent selection method in genetic programming that has outperformed other methods across multiple benchmark suites. Unlike other selection methods that require explicit parameters to function, such as…

神经与进化计算 · 计算机科学 2024-07-23 Jose Guadalupe Hernandez , Anil Kumar Saini , Jason H. Moore

Resetting has been shown to reduce the completion time for a stochastic process, such as the first passage time for a diffusive searcher to find a target. The time between two consecutive resetting events is drawn from a waiting time…

统计力学 · 物理学 2025-06-23 Martin R. Evans , Somrita Ray

The degree to which population fluctuations arise from variable adult survival relative to variable recruitment has been debated widely for marine organisms. Disentangling these effects remains challenging because data generally are not…

种群与进化 · 定量生物学 2016-01-26 Daniel K. Okamoto , Russell J. Schmitt , Sally J. Holbrook

Lattice data structures are space efficient and cache-suitable data structures. The basic searching, insertion, and deletion operations are of time complexity $O(\sqrt{N})$. We give a jump searching algorithm of time complexity…

数据结构与算法 · 计算机科学 2016-05-16 Mohammad Obiedat

Modern developments in population dynamics emphasize the role of the turnover of individuals. In the new approaches stable population size is a dynamic equilibrium between different mortality and fecundity factors instead of an arbitrary…

种群与进化 · 定量生物学 2014-03-05 Krzysztof Argasinski , Mark Broom

We consider the task of filtering a dynamic parameter evolving as a diffusion process, given data collected at discrete times from a likelihood which is conjugate to the marginal law of the diffusion, when a generic dual process on a…

We analyze a one-dimensional intermittent random walk on an unbounded domain in the presence of stochastic resetting. In this process, the walker alternates between local intensive search, diffusion, and rapid ballistic relocations in which…

统计力学 · 物理学 2024-01-31 Rosa Flaquer-Galmés , Daniel Campos , Vicenç Méndez

Sexually reproducing populations with small number of individuals may go extinct by stochastic fluctuations in sex determination, causing all their members to become male or female in a generation. In this work we calculate the time to…

种群与进化 · 定量生物学 2012-10-24 David M. Schneider , Eduardo do Carmo , Yaneer Bar-Yam , Marcus A. M. de Aguiar

We consider a problem of finding a target located in a finite $d$-dimensional domain, using $N$ independent random walkers, when partial information on the target location is given as a probability distribution. When $N$ is large, the…

统计力学 · 物理学 2022-08-17 Sunghan Ro , Yong Woon Kim

In this work we introduce and study a pursuit-evasion game in which the search is performed by heterogeneous entities. We incorporate heterogeneity into the classical edge search problem by considering edge-labeled graphs: once a search…

离散数学 · 计算机科学 2024-01-26 Dariusz Dereniowski , Łukasz Kuszner , Robert Ostrowski

A striking feature of our universe is its near criticality. The cosmological constant and weak hierarchy problems, as well as the metastability of the electroweak vacuum, can all be understood as problems of criticality. This suggests a…

高能物理 - 理论 · 物理学 2019-12-11 Justin Khoury , Onkar Parrikar

In the post-AlphaGo era, there has been a renewed interest in search techniques such as Monte Carlo Tree Search (MCTS), particularly in their application to Large Language Models (LLMs). This renewed attention is driven by the recognition…

机器学习 · 计算机科学 2025-02-28 Jiacheng Ye , Zhenyu Wu , Jiahui Gao , Zhiyong Wu , Xin Jiang , Zhenguo Li , Lingpeng Kong

We study failure rate monotonicity and generalized convex transform stochastic ordering properties of random variables, with a concern on applications. We are especially interested in the effect of a tail weight iteration procedure to…

概率论 · 数学 2026-01-14 Idir Arab , Milto Hadjikyriakou , Paulo Eduardo Oliveira

Cover times quantify the speed of exhaustive search. In this work, we compute exactly the mean cover time associated with a one-dimensional Brownian search under exponentially distributed resetting. We also approximate the moments of cover…

概率论 · 数学 2025-05-13 Samantha Linn , Sean D Lawley

The first chapter concerns monotype population models. We first study general birth and death processes and we give non-explosion and extinction criteria, moment computations and a pathwise representation. We then show how different scales…

概率论 · 数学 2017-07-06 Vincent Bansaye , Sylvie Méléard

We study the kinetics for the search of an immobile target by randomly moving searchers that detect it only upon encounter. The searchers perform intermittent random walks on a one-dimensional lattice. Each searcher can step on a nearest…

统计力学 · 物理学 2015-05-14 Gleb Oshanin , Katja Lindenberg , Horacio S Wio , Sergei Burlatsky

To model discriminative, i.e. competition induced, self-thinning in even-aged forest stands a concept has been explored that discriminative mortality alters spatial arrangement of trees which in turn alters the mortality. Function of…

种群与进化 · 定量生物学 2016-09-30 Vladimir L. Gavrikov , Rem G. Khlebopros

Multiple species in the ecosystem are believed to compete cyclically for survival and thus maintain balance in nature. Stochasticity has also an inevitable role in this dynamics. Considering these attributes of nature, the stochastic…

种群与进化 · 定量生物学 2020-08-05 Sirshendu Bhattacharyya , Pritam Sinha , Rina De , Chittaranjan Hens

We study the search kinetics of an immobile target by a concentration of randomly moving searchers. The object of the study is to optimize the probability of detection within the constraints of our model. The target is hidden on a…

统计力学 · 物理学 2009-11-11 G. Oshanin , H. S. Wio , K. Lindenberg , S. F. Burlatsky