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A Generalized Circular Supply Chain Problem for Multi-objec..:

, In: Proceedings of the Companion Conference on Genetic and Evolutionary Computation,

Benecke, Tobias ; Antons, Oliver ; Mostaghim, Sanaz. - p. 355-358 , 2023

Link: https://dl.acm.org/doi/10.1145/3583133.3590742

RT 
T1 <cTitle>Proceedings of the Companion Conference on Genetic and Evolutionary Computation</cTitle>: T1 <Title>A Generalized Circular Supply Chain Problem for Multi-objective Evolutionary Algorithms</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3590742&Exemplar=1&LAN=DE
				
A1 Benecke, Tobias
A1 Antons, Oliver
A1 Mostaghim, Sanaz
A1 Arlinghaus, Julia
PB ACM
YR 2023
K1 multi-objective optimization
K1 supply chain optimization
K1 evolutionary algorithms
K1 benchmarking
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
K1 Applied computing
K1 Operations research
K1 Industry and manufacturing
K1 Supply chain management
K1 Computing methodologies
K1 Machine learning
K1 Machine learning approaches
K1 Bio-inspired approaches
K1 Genetic algorithms
SP 355
OP 358
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3583133.3590742
DO https://dl.acm.org/doi/10.1145/3583133.3590742
SF ELIB - SuUB Bremen

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