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The Benefit of Recombination in Noisy Evolutionary Search:
, In:
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion
,
Friedrich, Tobias
;
Kötzing, Timo
;
Krejca, Martin S.
. - p. 161-162 , 2016
Link:
https://dl.acm.org/doi/10.1145/2908961.2930953
RT T1 <cTitle>Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion</cTitle>: T1 <Title>The Benefit of Recombination in Noisy Evolutionary Search</Title> UL https://suche.suub.uni-bremen.de/peid=acm-2930953&Exemplar=1&LAN=DE A1 Friedrich, Tobias A1 Kötzing, Timo A1 Krejca, Martin S. A1 Sutton, Andrew M. PB ACM YR 2016 K1 evolutionary algorithms K1 noisy optimization K1 run time analysis K1 Theory of computation K1 Theory and algorithms for application domains K1 Theory of randomized search heuristics K1 Mathematics of computing K1 Mathematical analysis K1 Mathematical optimization K1 Discrete optimization K1 Optimization with randomized search heuristics K1 Evolutionary algorithms SP 161 OP 162 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/2908961.2930953 DO https://dl.acm.org/doi/10.1145/2908961.2930953 SF ELIB - SuUB Bremen
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