Rodney R. Saldanha

22 papers B 2C 3Journal 12Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Iterative Configuration of T-Timed Colored Petri Nets by a MILP Model for Rail Freight Volume and Rolling Stock Planning.
IEEE Access
Grazielle F. da Silva, Lucas S. M. Guedes, Rodney R. Saldanha, Carlos Andrey Maia, Tomas B. F. Tamantini
2020 J jnl
Alternative proposal of the high-order Gauss quadrature for reference triangle in the generalized finite element method.
Comput. Math. Appl.
W. G. Facco, R. C. Silva, K. F. O. Santos, E. J. Silva, A. S. Moura, Rodney R. Saldanha
2020 J jnl
Application of meta-heuristic methods to generation expansion planning: advanced formulations and case studies.
Artif. Intell. Rev.
Guilherme Costa Silva, Frederico Gualberto F. Coelho, Adriano Chaves Lisboa, Douglas A. G. Vieira, Rodney R. Saldanha
2019 J jnl
On Modelling and Simulating Open Pit Mine Through Stochastic Timed Petri Nets.
IEEE Access
Adriano Chaves Lisboa, Flávio H. B. De Souza, César M. Ribeiro, Carlos A. Maia, Rodney R. Saldanha, Felipe L. B. Castro, Douglas A. G. Vieira
2018 J jnl
CFS-PML-DEC formulation in two-dimensional convex and non-convex domains.
Comput. Math. Appl.
A. S. Moura, E. J. Silva, W. G. Facco, Rodney R. Saldanha
2017 — conf
Advanced fuzzy time series applied to short term load forecasting.
LA-CCI
Guilherme Costa Silva, Joao L. R. Silva, Adriano Chaves Lisboa, Douglas A. G. Vieira, Rodney R. Saldanha
2017 B conf
An evolutionary multiobjective based approach to improve robustness in directional overcurrent relay coordination.
CEC
Mateus H. Costa, Martín Gómez Ravetti, Rodney R. Saldanha, Eduardo G. Carrano
2015 J jnl
A prediction algorithm for data analysis in GPR-based surveys.
Neurocomputing
J. B. Rodriguez, Mario Fernández Pantoja, X. L. Travassos Jr., Douglas A. G. Vieira, Rodney R. Saldanha
2015 J jnl
Extreme learning machine with parallel layer perceptrons.
Neurocomputing
Leonardo Daniel Tavares, Rodney R. Saldanha, Douglas A. G. Vieira
2015 J jnl
Surgical scheduling with simultaneous employment of specialised human resources.
Eur. J. Oper. Res.
Thiago Augusto de Oliveira Silva, Maurício C. de Souza, Rodney R. Saldanha, Edmund K. Burke
2014 C conf
A Proposed Extreme Learning Machine Pruning Based on the Linear Combination of the Input Data and the Output Layer Weights.
IDEAL
Leonardo Daniel Tavares, Rodney R. Saldanha, Douglas A. G. Vieira, Adriano Chaves Lisboa
2014 C conf
Extreme learning machine with initialized hidden weight.
INDIN
Leonardo Daniel Tavares, Rodney R. Saldanha, Douglas A. G. Vieira
2013 C conf
Application of modular multilevel converter for HVDC transmission with selective harmonics.
IECON
Bruno R. Baroni, Marcos A. Severo Mendes, Porfírio C. Cortizo, Adriano Chaves Lisboa, Rodney R. Saldanha
2012 J jnl
Multicriteria optimization with a multiobjective golden section line search.
Math. Program.
Douglas A. G. Vieira, Ricardo H. C. Takahashi, Rodney R. Saldanha
2009 J jnl
Signal denoising in engineering problems through the minimum gradient method.
Neurocomputing
Douglas A. G. Vieira, Xisto Lucas Travassos, Rodney R. Saldanha, Vasile Palade
2008 — conf
Filtering Noise in Regression Problems Using a Multiobjective Learning Algorithm.
ICTAI (2)
Douglas A. G. Vieira, X. L. Travassos Jr., Vasile Palade, Rodney R. Saldanha
2007 — conf
The Usage of Golden Section in Calculating the Efficient Solution in Artificial Neural Networks Training by Multi-objective Optimization.
ICANN (1)
Roselito de Albuquerque Teixeira, Antônio de Pádua Braga, Rodney R. Saldanha, Ricardo H. C. Takahashi, Talles Henrique de Medeiros
2005 B conf
Constraint quadratic approximation operator for treating equality constraints with genetic algorithms.
Congress on Evolutionary Computation
Elizabeth F. Wanner, Frederico G. Guimarães, Rodney R. Saldanha, Ricardo H. C. Takahashi, Peter J. Fleming
2002 — conf
Decisior Implementation in Neural Model Selection by Multi-objective Optimization.
SBRN
Roselito de Albuquerque Teixeira, Antônio de Pádua Braga, Ricardo H. C. Takahashi, Rodney R. Saldanha
2001 J jnl
Recent Advances in the MOBJ Algorithm for Training Artifical Neural Networks.
Int. J. Neural Syst.
Roselito de Albuquerque Teixeira, Antônio de Pádua Braga, Ricardo H. C. Takahashi, Rodney R. Saldanha
2000 — conf
A Multi-Objective Optimization Approach for Training Artificial Neural Networks.
SBRN
Roselito de Albuquerque Teixeira, Antônio de Pádua Braga, Ricardo H. C. Takahashi, Rodney R. Saldanha
2000 J jnl
Improving generalization of MLPs with multi-objective optimization.
Neurocomputing
Roselito de Albuquerque Teixeira, Antônio de Pádua Braga, Ricardo H. C. Takahashi, Rodney R. Saldanha