Benchmarking State-of-the-art DIRECT-type Methods on the BBOB Noiseless Testbed
dc.contributor.author | Kůdela, Jakub | cs |
dc.date.issued | 2023-07-24 | cs |
dc.description.abstract | In recent years, there has been significant progress in the development of new DIRECT-type algorithms for black-box optimization problems. In this paper, we evaluate three well-performing DIRECT-type methods from a recent extensive numerical study on the BBOB noiseless testbed in dimensions 2, 3, 5, 10, and 20. We discuss the strengths and weaknesses of these algorithms on different classes of functions and provide a comparison with the original DIRECT method, as well as with three other well-established methods: RL-SHADE, L-BFGS-B, and SLSQP. | en |
dc.format | text | cs |
dc.format.extent | 1620-1627 | cs |
dc.format.mimetype | application/pdf | cs |
dc.identifier.citation | GECCO '23 Companion: Companion Conference on Genetic and Evolutionary Computation. 2023, p. 1620-1627. | en |
dc.identifier.doi | 10.1145/3583133.3596308 | cs |
dc.identifier.isbn | 979-8-4007-0120-7 | cs |
dc.identifier.orcid | 0000-0002-4372-2105 | cs |
dc.identifier.other | 187594 | cs |
dc.identifier.researcherid | P-7327-2018 | cs |
dc.identifier.scopus | 56769626500 | cs |
dc.identifier.uri | http://hdl.handle.net/11012/245017 | |
dc.language.iso | en | cs |
dc.publisher | Association for Computing Machinery | cs |
dc.relation.ispartof | GECCO '23 Companion: Companion Conference on Genetic and Evolutionary Computation | cs |
dc.relation.uri | https://dl.acm.org/doi/abs/10.1145/3583133.3596308 | cs |
dc.rights | Creative Commons Attribution 4.0 International | cs |
dc.rights.access | openAccess | cs |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | cs |
dc.subject | Benchmarking | en |
dc.subject | Black-box optimization | en |
dc.subject | DIRECT-type methods | en |
dc.title | Benchmarking State-of-the-art DIRECT-type Methods on the BBOB Noiseless Testbed | en |
dc.type.driver | conferenceObject | en |
dc.type.status | Peer-reviewed | en |
dc.type.version | publishedVersion | en |
sync.item.dbid | VAV-187594 | en |
sync.item.dbtype | VAV | en |
sync.item.insts | 2025.02.03 15:47:54 | en |
sync.item.modts | 2025.01.17 16:38:07 | en |
thesis.grantor | Vysoké uÄenà technické v BrnÄ. Fakulta strojnÃho inÅŸenÃœrstvÃ. Ãstav automatizace a informatiky | cs |
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