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Enhancing MOEA/D with learning : application to routing ..:
, In:
Proceedings of the Genetic and Evolutionary Computation Conference Companion
,
Legrand, Clément
;
Cattaruzza, Diego
;
Jourdan, Laetitia
. - p. 495-498 , 2022
Link:
https://dl.acm.org/doi/10.1145/3520304.3528909
RT T1 <cTitle>Proceedings of the Genetic and Evolutionary Computation Conference Companion</cTitle>: T1 <Title>Enhancing MOEA/D with learning : application to routing problems with time windows</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3528909&Exemplar=1&LAN=DE A1 Legrand, Clément A1 Cattaruzza, Diego A1 Jourdan, Laetitia A1 Kessaci, Marie-Eléonore PB ACM YR 2022 K1 hybridization K1 machine learning K1 multi-objective optimization K1 operations research K1 routing and layout K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Mathematics of computing K1 Discrete mathematics K1 Combinatorics K1 Combinatorial optimization SP 495 OP 498 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3520304.3528909 DO https://dl.acm.org/doi/10.1145/3520304.3528909 SF ELIB - SuUB Bremen
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