Self-interacting CBO: Existence, uniqueness, and long-time convergence

Fuente: arXiv
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Main Authors: Huang, Hui, Kouhkouh, Hicham
Format: Preprint
Published: 2024
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author Huang, Hui
Kouhkouh, Hicham
author_facet Huang, Hui
Kouhkouh, Hicham
contents A self-interacting dynamics that mimics the standard Consensus-Based Optimization (CBO) model is introduced. This single-particle dynamics is shown to converge to a unique invariant measure that approximates the global minimum of a given function. As an application, its connection to CBO with Personal Best introduced by C. Totzeck and M.-T. Wolfram (Math. Biosci. Eng., 2020) has been established.
format Preprint
id arxiv_https___arxiv_org_abs_2411_10295
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Self-interacting CBO: Existence, uniqueness, and long-time convergence
Huang, Hui
Kouhkouh, Hicham
Optimization and Control
Probability
60H10, 65C35, 37N40, 90C26
A self-interacting dynamics that mimics the standard Consensus-Based Optimization (CBO) model is introduced. This single-particle dynamics is shown to converge to a unique invariant measure that approximates the global minimum of a given function. As an application, its connection to CBO with Personal Best introduced by C. Totzeck and M.-T. Wolfram (Math. Biosci. Eng., 2020) has been established.
title Self-interacting CBO: Existence, uniqueness, and long-time convergence
topic Optimization and Control
Probability
60H10, 65C35, 37N40, 90C26
url https://arxiv.org/abs/2411.10295