Rodney R. Saldanha

Publication Activity (10 Years)

Years Active: 2000-2020
Publications (10 Years): 7

Top Topics

Timed Petri Nets

Multicriteria Optimization

Top Venues

Artif. Intell. Rev.

Publications

Guilherme Costa Silva, Frederico Gualberto F. Coelho, Adriano Chaves Lisboa, Douglas A. G. Vieira, Rodney R. Saldanha
Application of meta-heuristic methods to generation expansion planning: advanced formulations and case studies. Artif. Intell. Rev. 53 (7) (2020)
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
On Modelling and Simulating Open Pit Mine Through Stochastic Timed Petri Nets. IEEE Access 7 (2019)
Mateus H. Costa, Martín Gómez Ravetti, Rodney R. Saldanha, Eduardo G. Carrano
An evolutionary multiobjective based approach to improve robustness in directional overcurrent relay coordination. CEC (2017)
Guilherme Costa Silva, Joao L. R. Silva, Adriano Chaves Lisboa, Douglas A. G. Vieira, Rodney R. Saldanha
Advanced fuzzy time series applied to short term load forecasting. LA-CCI (2017)
Leonardo D. Tavares, Rodney R. Saldanha, Douglas A. G. Vieira
Extreme learning machine with parallel layer perceptrons. Neurocomputing 166 (2015)
Thiago Augusto de Oliveira Silva, Maurício C. de Souza, Rodney R. Saldanha, Edmund K. Burke
Surgical scheduling with simultaneous employment of specialised human resources. Eur. J. Oper. Res. 245 (3) (2015)
J. B. Rodriguez, M. F. Pantoja, X. L. Travassos Jr., Douglas A. G. Vieira, Rodney R. Saldanha
A prediction algorithm for data analysis in GPR-based surveys. Neurocomputing 168 (2015)
Leonardo D. Tavares, Rodney R. Saldanha, Douglas A. G. Vieira
Extreme learning machine with initialized hidden weight. INDIN (2014)
Leonardo D. Tavares, Rodney R. Saldanha, Douglas A. G. Vieira, Adriano Chaves Lisboa
A Proposed Extreme Learning Machine Pruning Based on the Linear Combination of the Input Data and the Output Layer Weights. IDEAL (2014)
Bruno R. Baroni, Marcos A. Severo Mendes, Porfírio C. Cortizo, Adriano Chaves Lisboa, Rodney R. Saldanha
Application of modular multilevel converter for HVDC transmission with selective harmonics. IECON (2013)
Douglas A. G. Vieira, Ricardo H. C. Takahashi, Rodney R. Saldanha
Multicriteria optimization with a multiobjective golden section line search. Math. Program. 131 (1-2) (2012)
Douglas A. G. Vieira, Xisto Lucas Travassos, Rodney R. Saldanha, Vasile Palade
Signal denoising in engineering problems through the minimum gradient method. Neurocomputing 72 (10-12) (2009)
Douglas A. G. Vieira, X. L. Travassos Jr., Vasile Palade, Rodney R. Saldanha
Filtering Noise in Regression Problems Using a Multiobjective Learning Algorithm. ICTAI (2) (2008)
Roselito de Albuquerque Teixeira, Antônio de Pádua Braga, Rodney R. Saldanha, Ricardo H. C. Takahashi, Talles Henrique de Medeiros
The Usage of Golden Section in Calculating the Efficient Solution in Artificial Neural Networks Training by Multi-objective Optimization. ICANN (1) (2007)
Elizabeth F. Wanner, Frederico G. Guimarães, Rodney R. Saldanha, Ricardo H. C. Takahashi, Peter J. Fleming
Constraint quadratic approximation operator for treating equality constraints with genetic algorithms. Congress on Evolutionary Computation (2005)
Roselito de Albuquerque Teixeira, Antônio de Pádua Braga, Ricardo H. C. Takahashi, Rodney R. Saldanha
Decisior Implementation in Neural Model Selection by Multi-objective Optimization. SBRN (2002)
Roselito de Albuquerque Teixeira, Antônio de Pádua Braga, Ricardo H. C. Takahashi, Rodney R. Saldanha
Recent Advances in the MOBJ Algorithm for Training Artifical Neural Networks. Int. J. Neural Syst. 11 (3) (2001)
Roselito de Albuquerque Teixeira, Antônio de Pádua Braga, Ricardo H. C. Takahashi, Rodney R. Saldanha
Improving generalization of MLPs with multi-objective optimization. Neurocomputing 35 (1-4) (2000)
Roselito de Albuquerque Teixeira, Antônio de Pádua Braga, Ricardo H. C. Takahashi, Rodney R. Saldanha
A Multi-Objective Optimization Approach for Training Artificial Neural Networks. SBRN (2000)