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In this study, we propose to use the multi-generation Gaussian process optimizer for online accelerator optimization and demonstrate that the algorithm is significantly more efficient than other stochastic algorithms that are commonly used in the accelerator community.<\/jats:p>","DOI":"10.1088\/2632-2153\/abc81e","type":"journal-article","created":{"date-parts":[[2020,11,5]],"date-time":"2020-11-05T22:36:15Z","timestamp":1604615775000},"page":"015014","update-policy":"https:\/\/doi.org\/10.1088\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["Online accelerator optimization with a machine learning-based stochastic algorithm"],"prefix":"10.1088","volume":"2","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8143-0381","authenticated-orcid":false,"given":"Zhe","family":"Zhang","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7055-0660","authenticated-orcid":false,"given":"Minghao","family":"Song","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8195-9277","authenticated-orcid":false,"given":"Xiaobiao","family":"Huang","sequence":"additional","affiliation":[]}],"member":"266","published-online":{"date-parts":[[2020,12,24]]},"reference":[{"key":"mlstabc81ebib1","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevSTAB.18.084001","volume":"18","author":"Huang","year":"2015","journal-title":"Phys. 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