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A Generative Evolutionary Many-Objective Framework: A Case ..:

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

Da Silva, Matheus Muller Pereira ; Angelo, Jaqueline Silva ; Guedes, Isabella Alvim. - p. 1623-1630 , 2024

Link: https://dl.acm.org/doi/10.1145/3638530.3664159

RT 
T1 <cTitle>Proceedings of the Genetic and Evolutionary Computation Conference Companion</cTitle>: T1 <Title>A Generative Evolutionary Many-Objective Framework: A Case Study in Antimicrobial Agent Design</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3664159&Exemplar=1&LAN=DE
				
A1 Da Silva, Matheus Muller Pereira
A1 Angelo, Jaqueline Silva
A1 Guedes, Isabella Alvim
A1 Dardenne, Laurent Emmanuel
PB ACM
YR 2024
K1 de novo drug design
K1 many-objective optimization
K1 evolutionary algorithms
K1 variational autoencoder
K1 latent variable optimization
K1 Applied computing
K1 Life and medical sciences
K1 Computational biology
K1 Bioinformatics
K1 Molecular structural biology
K1 Computing methodologies
K1 Machine learning
K1 Machine learning algorithms
K1 Machine learning approaches
K1 Learning latent representations
K1 Bio-inspired approaches
K1 Genetic algorithms
SP 1623
OP 1630
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3638530.3664159
DO https://dl.acm.org/doi/10.1145/3638530.3664159
SF ELIB - SuUB Bremen

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