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Estimating the quality of initial populations in multi-obje..:
, In:
Proceedings of the Genetic and Evolutionary Computation Conference Companion
,
Benecke, Tobias
;
Mostaghim, Sanaz
- p. 324-327 , 2022
Link:
https://dl.acm.org/doi/10.1145/3520304.3528796
RT T1 <cTitle>Proceedings of the Genetic and Evolutionary Computation Conference Companion</cTitle>: T1 <Title>Estimating the quality of initial populations in multi-objective evolutionary algorithms</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3528796&Exemplar=1&LAN=DE A1 Benecke, Tobias A1 Mostaghim, Sanaz PB ACM YR 2022 K1 evolutionary algorithms K1 initial population K1 multi-objective optimization K1 performance indicator K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Bio-inspired approaches K1 Genetic algorithms K1 Theory of computation K1 Design and analysis of algorithms K1 Mathematical optimization K1 Discrete optimization K1 Optimization with randomized search heuristics K1 Evolutionary algorithms SP 324 OP 327 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3520304.3528796 DO https://dl.acm.org/doi/10.1145/3520304.3528796 SF ELIB - SuUB Bremen
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