A Multi-Objective Optimization Approach for Training Artificial Neural Networks. - Roselito de Albuquerque Teixeira; Antônio de Pádua Braga; Ricardo H. C. Takahashi; Rodney R. Saldanha (SBRN, 2000)

Improving generalization of MLPs with multi-objective optimization. - Roselito de Albuquerque Teixeira; Antônio de Pádua Braga; Ricardo H. C. Takahashi; Rodney R. Saldanha (Neurocomputing, 2000)

Control of a Robotic Manipulator Using Artificial Neural Networks with On-line Adaptation. - Roselito de Albuquerque Teixeira; Antônio de Pádua Braga; Benjamin Rodrigues de Menezes (Neural Process. Lett., 2000)

Recent Advances in the MOBJ Algorithm for Training Artifical Neural Networks. - Roselito de Albuquerque Teixeira; Antônio de Pádua Braga; Ricardo H. C. Takahashi; Rodney R. Saldanha (Int. J. Neural Syst., 2001)

Control of Generalization with a Bi-Objective Sliding Mode Control Algorithm. - Marcelo Azevedo Costa; Antônio de Pádua Braga; Benjamin Rodrigues de Menezes; Gustavo Guimarães Parma; Roselito de Albuquerque Teixeira (SBRN, 2002)

Decisior Implementation in Neural Model Selection by Multi-objective Optimization. - Roselito de Albuquerque Teixeira; Antônio de Pádua Braga; Ricardo H. C. Takahashi; Rodney R. Saldanha (SBRN, 2002)

Training neural networks with a multi-objective sliding mode control algorithm. - Marcelo Azevedo Costa; Antônio de Pádua Braga; Benjamin Rodrigues de Menezes; Roselito de Albuquerque Teixeira; Gustavo Guimarães Parma (Neurocomputing, 2003)

Multi-Objective Algorithms for Neural Networks Learning. - Antônio de Pádua Braga; Ricardo H. C. Takahashi; Marcelo Azevedo Costa; Roselito de Albuquerque Teixeira (Multi-Objective Machine Learning, 2006)

The Usage of Golden Section in Calculating the Efficient Solution in Artificial Neural Networks Training by Multi-objective Optimization. - Roselito de Albuquerque Teixeira; Antônio de Pádua Braga; Rodney R. Saldanha; Ricardo H. C. Takahashi; Talles Henrique de Medeiros (ICANN (1), 2007)