Juan Flores
Cited by
Cited by
The application of artificial neural networks to the analysis of remotely sensed data
JF Mas, JJ Flores
International Journal of Remote Sensing 29 (3), 617-663, 2008
Evolutive design of ARMA and ANN models for time series forecasting
JJ Flores, M Graff, H Rodriguez
Renewable Energy 44, 225-230, 2012
Solving a school timetabling problem using a bee algorithm
C Lara, JJ Flores, F Calderón
Mexican International Conference on Artificial Intelligence, 664-674, 2008
Gravitational interactions optimization
JJ Flores, R López, J Barrera
International Conference on Learning and Intelligent Optimization, 226-237, 2011
La incertidumbre en la evaluación financiera de las empresas
FG Santoyo, JJF Romero, BF Romero
Fegosa Ingenieria Administrativa y FCA-UMSNH, 2000
On the hyperbox–hyperplane intersection problem
C Lara, JJ Flores, F Calderon
INFOCOMP Journal of Computer Science 8 (4), 21-27, 2009
Wind speed forecasting using a hybrid neural-evolutive approach
JJ Flores, R Loaeza, H Rodríguez, E Cadenas
Mexican International Conference on Artificial Intelligence, 600-609, 2009
Evolutionary computation solutions to the circle packing problem
JJ Flores, J Martínez, F Calderón
Soft Computing 20 (4), 1521-1535, 2016
Wind prediction using genetic algorithms and gene expression programming
JJ Flores, M Graff, E Cadenas
Proceedings of the International Conference on Modelling and Simulation in …, 2005
Multi-model prediction for demand forecast in water distribution networks
R Lopez Farias, V Puig, H Rodriguez Rangel, JJ Flores
Energies 11 (3), 660, 2018
Models of performance of evolutionary program induction algorithms based on indicators of problem difficulty
M Graff, R Poli, JJ Flores
Evolutionary computation 21 (4), 533-560, 2013
Short-term demand forecast using a bank of neural network models trained using genetic algorithms for the optimal management of drinking water networks
HR Rangel, V Puig, RL Farias, JJ Flores
Journal of Hydroinformatics 19 (1), 1-16, 2017
Qualitative phasor analysis
J Flores, AM Farley
Proc. 10th Int. Workshop on Qualitative Reasoning About Physical Systems, 1996
Hybrid Network Anomaly Detection - Learning HMMs Through Evolutionary Computation
JJ Flores, A Antolino, JM Garcia
Book: Artificial Intelligence & Applications: Hybrid Intelligent Systems …, 2013
Limiting the velocity in the particle swarm optimization algorithm
J Barrera, O Álvarez-Bajo, JJ Flores, CA Coello Coello
Computación y Sistemas 20 (4), 635-645, 2016
System identification using genetic programming and gene expression programming
JJ Flores, M Graff
International Symposium on Computer and Information Sciences, 503-511, 2005
Time-invariant dynamic systems identification based on the qualitative features of the response
JJ Flores, N Pastor
Engineering Applications of Artificial Intelligence 18 (6), 719-729, 2005
Combined holt-winters and GA trained ANN approach for sensor validation and reconstruction: Application to water demand flowmeters
H Rodriguez, V Puig, JJ Flores, R Lopez
2016 3rd Conference on Control and Fault-Tolerant Systems (SysTol), 202-207, 2016
Network anomaly detection by continuous hidden markov models: An evolutionary programming approach
JJ Flores, F Calderon, A Antolino, JM Garcia
Intelligent Data Analysis 19 (2), 391-412, 2015
Generating complete bifurcation diagrams using a dynamic environment particle swarm optimization algorithm
J Barrera, JJ Flores, C Fuerte-Esquivel
Journal of Artificial evolution and applications 2008, 2007
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