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A parallel and distributed multi-population GA with asynchr..:

, In: Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion,

Escobar, Juan José ; Ortega, Julio ; Díaz, Antonio Francisco.. - p. 211-212 , 2020

Link: https://dl.acm.org/doi/10.1145/3377929.3389908

RT 
T1 <cTitle>Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion</cTitle>: T1 <Title>A parallel and distributed multi-population GA with asynchronous migrations				: energy-time analysis for heterogeneous systems</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3389908&Exemplar=1&LAN=DE
				
A1 Escobar, Juan José
A1 Ortega, Julio
A1 Díaz, Antonio Francisco
A1 González, Jesús
A1 Damas, Miguel
PB ACM
YR 2020
K1 EEG classification
K1 asynchronous migrations
K1 energy-aware computing
K1 heterogeneous clusters
K1 multi-population genetic algorithm
K1 parallel and distributed programming
K1 Computing methodologies
K1 Distributed computing methodologies
K1 Distributed algorithms
K1 Theory of computation
K1 Design and analysis of algorithms
K1 Parallel algorithms
K1 Massively parallel algorithms
K1 Applied computing
K1 Life and medical sciences
K1 Bioinformatics
SP 211
OP 212
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3377929.3389908
DO https://dl.acm.org/doi/10.1145/3377929.3389908
SF ELIB - SuUB Bremen

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