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Schede, Elias; Brandt, Jasmin; Tornede, Alexander ORCID logoORCID: https://orcid.org/0000-0002-2415-2186; Wever, Marcel ORCID logoORCID: https://orcid.org/0000-0001-9782-6818; Bengs, Viktor ORCID logoORCID: https://orcid.org/0000-0001-6988-6186; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 and Tierney, Kevin (19. August 2023): A Survey of Methods for Automated Algorithm Configuration (Extended Abstract). Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI 2023), Macao, S.A.R, 19-25 August 2023. In: Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, pp. 6964-6968

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Abstract

Algorithm configuration (AC) is concerned with the automated search of the most suitable parameter configuration of a parametrized algorithm. There are currently a wide variety of AC problem variants and methods proposed in the literature. Existing reviews do not take into account all derivatives of the AC problem, nor do they offer a complete classification scheme. To this end, we introduce taxonomies to describe the AC problem and features of configuration methods, respectively. Existing AC literature is classified and characterized by the provided taxonomies.

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