Sustainable Artificial Intelligence (SAI)
Phd , Researcher
Email: anton.aguilar@cttc.catPhone: +34 93 645 29 00
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The unscented genetic algorithm for fast solution of GA-hard optimization problems
APPLIED SOFT COMPUTING.
Vol. 139.
January 2023.
Aguilar-Rivera A.
10.1016/j.asoc.2023.110260
Google Scholar
Evaluation of AI-based Smart-Sensor Deployment at the Extreme Edge of a Software-Defined Network
2022 Ieee Conference On Network Function Virtualization And Software Defined Networks, Nfv-Sdn 2022 - Proceedings.
pp. 1-5
January 2022.
Aguilar-Rivera, A, Vilalta, R, Parada, R, Perez, FM, Vazquez-Gallego, F
10.1109/NFV-SDN56302.2022.9974729
Google Scholar
A GPU fully vectorized approach to accelerate performance of NSGA-2 based on stochastic non-domination sorting and grid-crowding
APPLIED SOFT COMPUTING.
Vol. 88.
March 2020.
Aguilar-Rivera, Anton
10.1016/j.asoc.2019.106047
Google Scholar
Bit-wise Pseudo-Bayes genetic algorithms to model data distributions
APPLIED SOFT COMPUTING.
Vol. 64.
pp. 550-563
March 2018.
Aguilar-Rivera, A
10.1016/j.asoc.2017.12.034
Google Scholar
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Researcher PO
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