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Versatile black-box optimization

dc.contributor.authorLiu, Jialin
dc.contributor.authorMoreau, Antoine
dc.contributor.authorPreuss, Mike
dc.contributor.authorRapin, Jeremy
hal.structure.identifierLaboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
dc.contributor.authorRoziere, Baptiste
dc.contributor.authorTeytaud, Fabien
dc.contributor.authorTeytaud, O.
dc.date.accessioned2021-11-30T10:23:19Z
dc.date.available2021-11-30T10:23:19Z
dc.date.issued2020
dc.identifier.urihttps://basepub.dauphine.psl.eu/handle/123456789/22309
dc.language.isoenen
dc.subjectBlack-box optimizationen
dc.subjectportfolio algorithmen
dc.subjectgradient-free algorithmsen
dc.subjectopen source platforen
dc.subject.ddc003en
dc.titleVersatile black-box optimizationen
dc.typeCommunication / Conférence
dc.description.abstractenChoosing automatically the right algorithm using problem descriptors is a classical component of combinatorial optimization. It is also a good tool for making evolutionary algorithms fast, robust and versatile. We present Shiwa, an algorithm good at both discrete and continuous, noisy and noise-free, sequential and parallel, black-box optimization. Our algorithm is experimentally compared to competitors on YABBOB, a BBOB comparable testbed, and on some variants of it, and then validated on several real world testbeds.en
dc.identifier.citationpages620–628en
dc.relation.ispartofpublnameACM - Association for Computing Machineryen
dc.relation.ispartofpublcityNew York, NYen
dc.subject.ddclabelRecherche opérationnelleen
dc.relation.ispartofisbn978-1-4503-7128-5en
dc.relation.conftitleGECCO '20: Genetic and Evolutionary Computation Conferenceen
dc.relation.confdate2020-07
dc.relation.confcityCancúnen
dc.relation.confcountryMexicoen
dc.relation.forthcomingnonen
dc.identifier.doi10.1145/3377930.3389838en
dc.description.ssrncandidatenon
dc.description.halcandidatenonen
dc.description.readershiprechercheen
dc.description.audienceInternationalen
dc.relation.Isversionofjnlpeerreviewednonen
dc.date.updated2021-11-30T10:21:10Z
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