The Runtime of Random Local Search on the Generalized Needle Problem

Fuente: arXiv
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Hauptverfasser: Doerr, Benjamin, Kelley, Andrew James
Format: Preprint
Veröffentlicht: 2024
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author Doerr, Benjamin
Kelley, Andrew James
author_facet Doerr, Benjamin
Kelley, Andrew James
contents In their recent work, C. Doerr and Krejca (Transactions on Evolutionary Computation, 2023) proved upper bounds on the expected runtime of the randomized local search heuristic on generalized Needle functions. Based on these upper bounds, they deduce in a not fully rigorous manner a drastic influence of the needle radius $k$ on the runtime. In this short article, we add the missing lower bound necessary to determine the influence of parameter $k$ on the runtime. To this aim, we derive an exact description of the expected runtime, which also significantly improves the upper bound given by C. Doerr and Krejca. We also describe asymptotic estimates of the expected runtime.
format Preprint
id arxiv_https___arxiv_org_abs_2403_08153
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle The Runtime of Random Local Search on the Generalized Needle Problem
Doerr, Benjamin
Kelley, Andrew James
Neural and Evolutionary Computing
Artificial Intelligence
Data Structures and Algorithms
In their recent work, C. Doerr and Krejca (Transactions on Evolutionary Computation, 2023) proved upper bounds on the expected runtime of the randomized local search heuristic on generalized Needle functions. Based on these upper bounds, they deduce in a not fully rigorous manner a drastic influence of the needle radius $k$ on the runtime. In this short article, we add the missing lower bound necessary to determine the influence of parameter $k$ on the runtime. To this aim, we derive an exact description of the expected runtime, which also significantly improves the upper bound given by C. Doerr and Krejca. We also describe asymptotic estimates of the expected runtime.
title The Runtime of Random Local Search on the Generalized Needle Problem
topic Neural and Evolutionary Computing
Artificial Intelligence
Data Structures and Algorithms
url https://arxiv.org/abs/2403.08153