Convergence analysis of Particle Swarm Optimization in one dimension
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Choi Young-Pil | - |
dc.contributor.author | Ju Hyeonho | - |
dc.contributor.author | Koo Dowan | - |
dc.date.accessioned | 2023-04-10T06:40:03Z | - |
dc.date.available | 2023-04-10T06:40:03Z | - |
dc.date.issued | 2023-03 | - |
dc.identifier.issn | 0893-9659 | - |
dc.identifier.uri | https://yscholarhub.yonsei.ac.kr/handle/2021.sw.yonsei/6382 | - |
dc.description.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. (c) 2022 Elsevier Ltd. All rights reserved. | - |
dc.publisher | Pergamon Press Ltd. | - |
dc.title | Convergence analysis of Particle Swarm Optimization in one dimension | - |
dc.type | Article | - |
dc.publisher.location | 영국 | - |
dc.identifier.wosid | 000884428600002 | - |
dc.identifier.bibliographicCitation | Applied Mathematics Letters, v.137 | - |
dc.citation.title | Applied Mathematics Letters | - |
dc.citation.volume | 137 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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