One dimensional consensus based algorithm for non-convex optimization
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Young-Pil Choi | - |
dc.contributor.author | DOWAN KOO | - |
dc.date.accessioned | 2023-04-10T01:40:08Z | - |
dc.date.available | 2023-04-10T01:40:08Z | - |
dc.date.issued | 2022-02 | - |
dc.identifier.issn | 0893-9659 | - |
dc.identifier.uri | https://yscholarhub.yonsei.ac.kr/handle/2021.sw.yonsei/6336 | - |
dc.description.abstract | We analyze the consensus based optimization method proposed in Pinnau et al. (2017) in one dimension. We rigorously provide a quantitative error estimate between the consensus point and global minimizer of a given objective function. Our analysis covers general objective functions; we do not require any structural assumption on the objective function. | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | PERGAMON-ELSEVIER SCIENCE LTD | - |
dc.title | One dimensional consensus based algorithm for non-convex optimization | - |
dc.type | Article | - |
dc.publisher.location | 영국 | - |
dc.identifier.doi | 10.1016/j.aml.2021.107658 | - |
dc.identifier.scopusid | 2-s2.0-85115892963 | - |
dc.identifier.wosid | 000704350700016 | - |
dc.identifier.bibliographicCitation | APPLIED MATHEMATICS LETTERS, v.124, pp 107658-1 - 107658-8 | - |
dc.citation.title | APPLIED MATHEMATICS LETTERS | - |
dc.citation.volume | 124 | - |
dc.citation.startPage | 107658-1 | - |
dc.citation.endPage | 107658-8 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordAuthor | Consensus based optimization | - |
dc.subject.keywordAuthor | Gradient-free optimization method | - |
dc.subject.keywordAuthor | Non-convex optimization | - |
dc.subject.keywordAuthor | Quantified optimization | - |
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