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Empirical study of surrogate models for black box optimizat..:
, In:
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
,
Rodriguez Rafael, Glen D.
;
Solano Salinas, Carlos Javier
- p. 185-186 , 2011
Link:
https://dl.acm.org/doi/10.1145/2001858.2001962
RT T1 <cTitle>Proceedings of the 13th annual conference companion on Genetic and evolutionary computation</cTitle>: T1 <Title>Empirical study of surrogate models for black box optimizations obtained using symbolic regression via genetic programming</Title> UL https://suche.suub.uni-bremen.de/peid=acm-2001962&Exemplar=1&LAN=DE A1 Rodriguez Rafael, Glen D. A1 Solano Salinas, Carlos Javier PB ACM YR 2011 K1 black box optimization K1 genetic programming K1 neural networks K1 surrogate models K1 symbolic regression K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks K1 Modeling and simulation K1 Model development and analysis K1 Modeling methodologies SP 185 OP 186 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/2001858.2001962 DO https://dl.acm.org/doi/10.1145/2001858.2001962 SF ELIB - SuUB Bremen
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