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1
Black-box mixed-variable optimisation using a surrogate mod..:
, In:
Proceedings of the Genetic and Evolutionary Computation Conference Companion
,
Bliek, Laurens
;
Guijt, Arthur
;
Verwer, Sicco
. - p. 1851-1859 , 2021
Link:
https://dl.acm.org/doi/10.1145/3449726.3463136
RT T1 <cTitle>Proceedings of the Genetic and Evolutionary Computation Conference Companion</cTitle>: T1 <Title>Black-box mixed-variable optimisation using a surrogate model that satisfies integer constraints</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3463136&Exemplar=1&LAN=DE A1 Bliek, Laurens A1 Guijt, Arthur A1 Verwer, Sicco A1 de Weerdt, Mathijs PB ACM YR 2021 K1 Bayesian optimisation K1 expensive optimisation K1 mixed-variable optimisation K1 surrogate models K1 Mathematics of computing K1 Mathematical analysis K1 Mathematical optimization K1 Theory of computation K1 Design and analysis of algorithms K1 Mixed discrete-continuous optimization K1 Computing methodologies K1 Artificial intelligence K1 Search methodologies K1 Machine learning K1 Learning settings K1 Active learning settings SP 1851 OP 1859 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3449726.3463136 DO https://dl.acm.org/doi/10.1145/3449726.3463136 SF ELIB - SuUB Bremen
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