Rodney R. Saldanha - researchr alias

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Viewing Publication 1 - 19 from 19

2020

Application of meta-heuristic methods to generation expansion planning: advanced formulations and case studiesGuilherme Costa Silva, Frederico Gualberto F. Coelho, Adriano Chaves Lisboa, Douglas A. G. Vieira, Rodney R. Saldanha. air, 53(7):4737-4776, 2020. [doi]

2019

On Modelling and Simulating Open Pit Mine Through Stochastic Timed Petri NetsAdriano Chaves Lisboa, Flávio H. B. De Souza, César M. Ribeiro, Carlos A. Maia, Rodney R. Saldanha, Felipe L. B. Castro, Douglas A. G. Vieira. access, 7:112821-112835, 2019. [doi]

2017

An evolutionary multiobjective based approach to improve robustness in directional overcurrent relay coordinationMateus H. Costa, Martín Gómez Ravetti, Rodney R. Saldanha, Eduardo G. Carrano. cec 2017: 137-144 [doi]

Advanced fuzzy time series applied to short term load forecastingGuilherme Costa Silva, Joao L. R. Silva, Adriano Chaves Lisboa, Douglas A. G. Vieira, Rodney R. Saldanha. lacci 2017: 1-6 [doi]

2015

2014

A Proposed Extreme Learning Machine Pruning Based on the Linear Combination of the Input Data and the Output Layer WeightsLeonardo D. Tavares, Rodney R. Saldanha, Douglas A. G. Vieira, Adriano Chaves Lisboa. ideal 2014: 354-361 [doi]

Extreme learning machine with initialized hidden weightLeonardo D. Tavares, Rodney R. Saldanha, Douglas A. G. Vieira. indin 2014: 43-47 [doi]

2013

Application of modular multilevel converter for HVDC transmission with selective harmonicsB. R. Baroni, M. A. Severo Mendes, P. C. Cortizo, Adriano Chaves Lisboa, Rodney R. Saldanha. iecon 2013: 6195-6200 [doi]

2012

Multicriteria optimization with a multiobjective golden section line searchDouglas A. G. Vieira, Ricardo H. C. Takahashi, Rodney R. Saldanha. mp, 131(1-2):131-161, 2012. [doi]

2009

Signal denoising in engineering problems through the minimum gradient methodDouglas A. G. Vieira, L. Travassos, Rodney R. Saldanha, Vasile Palade. ijon, 72(10-12):2270-2275, 2009. [doi]

2008

Filtering Noise in Regression Problems Using a Multiobjective Learning AlgorithmDouglas A. G. Vieira, X. L. Travassos Jr., Vasile Palade, Rodney R. Saldanha. ictai 2008: 452-456 [doi]

2007

The Usage of Golden Section in Calculating the Efficient Solution in Artificial Neural Networks Training by Multi-objective OptimizationRoselito de Albuquerque Teixeira, Antônio de Pádua Braga, Rodney R. Saldanha, Ricardo H. C. Takahashi, Talles Henrique de Medeiros. icann 2007: 289-298 [doi]

2005

Constraint quadratic approximation operator for treating equality constraints with genetic algorithmsElizabeth F. Wanner, Frederico G. Guimarães, Rodney R. Saldanha, Ricardo H. C. Takahashi, Peter J. Fleming. cec 2005: 2255-2262 [doi]

2002

Decisior Implementation in Neural Model Selection by Multi-objective OptimizationRoselito de Albuquerque Teixeira, Antônio de Pádua Braga, Ricardo H. C. Takahashi, Rodney R. Saldanha. sbrn 2002: 234 [doi]

2001

Recent Advances in the MOBJ Algorithm for Training Artifical Neural NetworksRoselito de Albuquerque Teixeira, Antônio de Pádua Braga, Ricardo H. C. Takahashi, Rodney R. Saldanha. IJNS, 11(3):265-270, 2001. [doi]

2000

A Multi-Objective Optimization Approach for Training Artificial Neural NetworksRoselito de Albuquerque Teixeira, Antônio de Pádua Braga, Ricardo H. C. Takahashi, Rodney R. Saldanha. sbrn 2000: 168-172 [doi]

Improving generalization of MLPs with multi-objective optimizationRoselito de Albuquerque Teixeira, Antônio de Pádua Braga, Ricardo H. C. Takahashi, Rodney R. Saldanha. ijon, 35(1-4):189-194, 2000. [doi]

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