TY  - GEN 
AU  - Baca Ruiz, Luis Gonzaga
AU  - Capel Tuñón, Manuel Isidoro
AU  - Pegalajar Jiménez, María Del Carmen
PY  - 2018
UR  - https://hdl.handle.net/10481/87119
AB  - In our state-of-the-art study, we improve neural network-based models for predicting energy consumption in buildings by parallelizing the CHC adaptive search algorithm. We compared the sequential implementation of the evolutionary algorithm with the...
LA  - eng
PB  - Elsevier
KW  - Energy efficiency
KW  - Neural networks
KW  - Time series prediction
KW  - Evolutionary algorithms
KW  - Manager–worker parallelization algorithms
TI  - Parallel memetic algorithm for training recurrent neural networks for the energy efficiency problem
DO  - 10.1016/j.asoc.2018.12.028
ER  -