Complexity and accessibility of random landscapes

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Hauptverfasser: Pahujani, Sakshi, Krug, Joachim
Format: Preprint
Veröffentlicht: 2025
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author Pahujani, Sakshi
Krug, Joachim
author_facet Pahujani, Sakshi
Krug, Joachim
contents These notes introduce probabilistic landscape models defined on high-dimensional discrete sequence spaces. The models are motivated primarily by fitness landscapes in evolutionary biology, but links to statistical physics and computer science are mentioned where appropriate. Elementary and advanced results on the structure of landscapes are described with a focus on features that are relevant to evolutionary searches, such as the number of local maxima and the existence of fitness-monotonic paths. The recent discovery of submodularity as a biologically meaningful property of fitness landscapes and its consequences for their accessibility is discussed in detail.
format Preprint
id arxiv_https___arxiv_org_abs_2502_05896
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Complexity and accessibility of random landscapes
Pahujani, Sakshi
Krug, Joachim
Populations and Evolution
Disordered Systems and Neural Networks
Probability
These notes introduce probabilistic landscape models defined on high-dimensional discrete sequence spaces. The models are motivated primarily by fitness landscapes in evolutionary biology, but links to statistical physics and computer science are mentioned where appropriate. Elementary and advanced results on the structure of landscapes are described with a focus on features that are relevant to evolutionary searches, such as the number of local maxima and the existence of fitness-monotonic paths. The recent discovery of submodularity as a biologically meaningful property of fitness landscapes and its consequences for their accessibility is discussed in detail.
title Complexity and accessibility of random landscapes
topic Populations and Evolution
Disordered Systems and Neural Networks
Probability
url https://arxiv.org/abs/2502.05896