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Nature-inspired metaheuristics for optimizing information d..:

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

Masegosa, Antonio D. ; Osaba, Eneko ; Angarita-Zapata, Juan S... - p. 1312-1320 , 2019

Link: https://dl.acm.org/doi/10.1145/3319619.3326847

RT 
T1 <cTitle>Proceedings of the Genetic and Evolutionary Computation Conference Companion</cTitle>: T1 <Title>Nature-inspired metaheuristics for optimizing information dissemination in vehicular networks</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3326847&Exemplar=1&LAN=DE
				
A1 Masegosa, Antonio D.
A1 Osaba, Eneko
A1 Angarita-Zapata, Juan S.
A1 Laña, Ibai
A1 Ser, Javier Del
PB ACM
YR 2019
K1 VANETs
K1 inteligent transportation systems
K1 nature-inspired metaheuristics
K1 vehicular communications
K1 vertex covering
K1 Applied computing
K1 Operations research
K1 Transportation
K1 Theory of computation
K1 Design and analysis of algorithms
K1 Approximation algorithms analysis
K1 Packing and covering problems
K1 Mathematical optimization
K1 Discrete optimization
K1 Optimization with randomized search heuristics
K1 Evolutionary algorithms
K1 Randomness, geometry and discrete structures
K1 Random search heuristics
SP 1312
OP 1320
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3319619.3326847
DO https://dl.acm.org/doi/10.1145/3319619.3326847
SF ELIB - SuUB Bremen

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