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Illustrating the Efficiency of Popular Evolutionary Multi-O..:
, In:
Proceedings of the Genetic and Evolutionary Computation Conference
,
Dang, Duc-Cuong
;
Opris, Andre
;
Sudholt, Dirk
- p. 484-492 , 2024
Link:
https://dl.acm.org/doi/10.1145/3638529.3654177
RT T1 <cTitle>Proceedings of the Genetic and Evolutionary Computation Conference</cTitle>: T1 <Title>Illustrating the Efficiency of Popular Evolutionary Multi-Objective Algorithms Using Runtime Analysis</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3654177&Exemplar=1&LAN=DE A1 Dang, Duc-Cuong A1 Opris, Andre A1 Sudholt, Dirk PB ACM YR 2024 K1 runtime analysis K1 evolutionary multiobjective optimisation K1 Theory of computation K1 Theory and algorithms for application domains K1 Theory of randomized search heuristics K1 Applied computing K1 Operations research K1 Decision analysis K1 Multi-criterion optimization and decision-making SP 484 OP 492 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3638529.3654177 DO https://dl.acm.org/doi/10.1145/3638529.3654177 SF ELIB - SuUB Bremen
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