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Increasing the Throughput of Expensive Evaluations Through ..:
, In:
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion
,
Zutty, Jason
;
Long, Daniel
;
Rohling, Gregory
- p. 1477-1478 , 2016
Link:
https://dl.acm.org/doi/10.1145/2908961.2931641
RT T1 <cTitle>Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion</cTitle>: T1 <Title>Increasing the Throughput of Expensive Evaluations Through a Vector Based Genetic Programming Framework</Title> UL https://suche.suub.uni-bremen.de/peid=acm-2931641&Exemplar=1&LAN=DE A1 Zutty, Jason A1 Long, Daniel A1 Rohling, Gregory PB ACM YR 2016 K1 computationally expensive evaluations K1 genetic programming K1 vector based K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Bio-inspired approaches K1 Genetic algorithms K1 Genetic programming K1 Learning paradigms K1 Supervised learning K1 Supervised learning by classification SP 1477 OP 1478 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/2908961.2931641 DO https://dl.acm.org/doi/10.1145/2908961.2931641 SF ELIB - SuUB Bremen
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