Convergence analysis of Particle Swarm Optimization in one dimension

Young Pil Choi, Hyeonho Ju, Dowan Koo

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

This paper is devoted to a rigorous analysis of one dimensional Particle Swarm Optimization (PSO) for non convex objective function. We provide a quantitative bound on the error between the equilibrium point and the global minimizer of the given objective function. Our strategy does not rely on the Laplace principle. We also investigate the underdamped PSO with linear objective function.

Original languageEnglish
Article number108481
JournalApplied Mathematics Letters
Volume137
DOIs
Publication statusPublished - 2023 Mar

Bibliographical note

Publisher Copyright:
© 2022 Elsevier Ltd

All Science Journal Classification (ASJC) codes

  • Applied Mathematics

Fingerprint

Dive into the research topics of 'Convergence analysis of Particle Swarm Optimization in one dimension'. Together they form a unique fingerprint.

Cite this