Using differential evolution for combinatorial optimization: A general approach. - Ricardo S. Prado; Rodrigo C. P. Silva; Frederico G. Guimarães; Oriane M. Neto (SMC, 2010)

A New Differential Evolution Based Metaheuristic for Discrete Optimization. - Ricardo Sérgio Prado; Rodrigo César Pedrosa Silva; Frederico Gadelha Guimarães; Oriane Magela Neto (Int. J. Nat. Comput. Res., 2010)

Self-adaptive mutation in the differential evolution. - Rodrigo César Pedrosa Silva; Rodolfo Ayala Lopes; Frederico Gadelha Guimarães (GECCO, 2011)

Differential Evolution and Perceptron Decision Trees for Classification Tasks. - Rodolfo Ayala Lopes; A. R. R. Freitas; Rodrigo César Pedrosa Silva; Frederico Gadelha Guimarães (IDEAL, 2012)

A Multi-agent Approach to the Adaptation of Migration Topology in Island Model Evolutionary Algorithms. - Rodolfo Ayala Lopes; Rodrigo César Pedrosa Silva; Felipe Campelo; Frederico G. Guimarães (SBRN, 2012)

Performance Comparison of Parameter Variation Operators in Self-Adaptive Differential Evolution Algorithms. - Rodrigo César Pedrosa Silva; Rodolfo Ayala Lopes; Alan R. R. de Freitas; Frederico G. Guimarães (SBRN, 2012)

Differential Evolution and Perceptron Decision Trees for Fault Detection in Power Transformers. - A. R. R. Freitas; Rodrigo César Pedrosa Silva; Frederico G. Guimarães (SOCO, 2012)

Dynamic selection of migration flows in island model differential evolution. - Rodolfo Ayala Lopes; Rodrigo César Pedrosa Silva; Felipe Campelo; Frederico G. Guimarães (GECCO (Companion), 2013)

Flow Shop Scheduling Using a General Approach for Differential Evolution. - Frederico Gadelha Guimarães; Rodrigo César Pedrosa Silva; Ricardo Sérgio Prado; Oriane Magela Neto; Donald Davendra (Handbook of Optimization, 2013)

On the visualization of trade-offs and reducibility in many-objective optimization. - Alan R. R. de Freitas; Rodrigo C. P. Silva; Frederico G. Guimarães (GECCO (Companion), 2014)

A study on the configuration of migratory flows in island model differential evolution. - Rodolfo Ayala Lopes; Rodrigo César Pedrosa Silva; Alan R. R. de Freitas; Felipe Campelo; Frederico G. Guimarães (GECCO (Companion), 2014)

A study on self-configuration in the differential evolution algorithm. - Rodrigo C. P. Silva; Rodolfo Ayala Lopes; Alan R. R. de Freitas; Frederico G. Guimarães (SDE, 2014)

Differential evolution using ancestor tree for service restoration in power distribution systems. - Ricardo S. Prado; Rodrigo César Pedrosa Silva; Oriane M. Neto; Frederico G. Guimarães; Danilo Sipoli Sanches; João Bosco A. London Jr.; Alexandre C. B. Delbem (Appl. Soft Comput., 2014)

Memetic self-adaptive evolution strategies applied to the maximum diversity problem. - Alan R. R. de Freitas; Frederico Gadelha Guimarães; Rodrigo César Pedrosa Silva; Marcone Jamilson Freitas Souza (Optim. Lett., 2014)

Hybrid Self-Adaptive Evolution Strategies Guided by Neighborhood Structures for Combinatorial Optimization Problems. - Vitor Nazário Coelho; Igor Machado Coelho; Marcone J. F. Souza; Thays A. Oliveira; Luciano Perdigão Cota; Matheus Nohra Haddad; Nenad Mladenovic; Rodrigo C. P. Silva; Frederico G. Guimarães (Evol. Comput., 2016)

Robust Design with Surrogate-Assisted Evolutionary Algorithm: Does It Work? - Rodrigo C. P. Silva; Min Li; Vahid Ghorbanian; Frederico G. Guimarães; David A. Lowther (BIOMA, 2018)

Multiple Operating Points Based Optimization: Application to Fractional Slot Concentrated Winding Electric Motors. - Rodrigo César Pedrosa Silva; Tanvir Rahman; Mohammad Hossain Mohammadi; David Alister Lowther (IEEE Trans. Ind. Electron., 2018)

Applying Genetic Programming to Improve Interpretability in Machine Learning Models. - Leonardo Augusto Ferreira; Frederico Gadelha Guimarães; Rodrigo Silva 001 (CEC, 2020)

Solar Energy Forecasting With Fuzzy Time Series Using High-Order Fuzzy Cognitive Maps. - Omid Orang; Rodrigo Silva 001; Petrônio Cândido de Lima e Silva; Frederico Gadelha Guimarães (FUZZ-IEEE, 2020)

Forecasting in non-stationary environments with fuzzy time series. - Petrônio Cândido de Lima e Silva; Carlos Alberto Severiano Junior; Marcos Antonio Alves; Rodrigo Silva 001; Miri Weiss-Cohen; Frederico Gadelha Guimarães (Appl. Soft Comput., 2020)

Towards an Effective and Efficient Deep Learning Model for COVID-19 Patterns Detection in X-ray Images. - Eduardo José da S. Luz; Pedro Henrique Lopes Silva; Rodrigo Silva 001; Ludmila Silva; Gladston Moreira; David Menotti (CoRR, 2020)

COVID-ABS: An Agent-Based Model of COVID-19 Epidemic to Simulate Health and Economic Effects of Social Distancing Interventions. - Petrônio C. L. Silva; Paulo V. C. Batista; Helder Seixas Lima; Marcos Antonio Alves; Frederico G. Guimarães; Rodrigo C. P. Silva (CoRR, 2020)

An abstract interface for large-scale continuous optimization decomposition methods. - Rodolfo Ayala Lopes; Rodrigo C. P. Silva; Alan R. R. de Freitas (GECCO Companion, 2021)

Explaining machine learning based diagnosis of COVID-19 from routine blood tests with decision trees and criteria graphs. - Marcos Antonio Alves; Giulia Zanon Castro; Bruno Alberto Soares Oliveira; Leonardo Augusto Ferreira; Jaime Arturo Ramírez; Rodrigo Silva 001; Frederico Gadelha Guimarães (Comput. Biol. Medicine, 2021)

Local Search with Groups of Step Sizes. - Rodolfo Ayala Lopes; A. R. R. Freitas; Rodrigo C. P. Silva (Oper. Res. Lett., 2021)

Deep Learning-Based COVID-19 Screening Using Photographs of Chest X-Rays Displayed in Computer Monitors. - Pedro Silva 004; Eduardo Luz 001; Larissa Silva; Caio Gonçalves; Dênis Oliveira; Rodrigo Silva 001; Gladston Moreira (BRACIS (2), 2022)

A Decidability-Based Loss Function. - Pedro Silva 004; Gladston Moreira; Vander L. S. Freitas; Rodrigo Silva 001; David Menotti; Eduardo Luz 001 (IJCNN, 2022)

Randomized high order fuzzy cognitive maps as reservoir computing models: A first introduction and applications. - Omid Orang; Petrônio Cândido de Lima e Silva; Rodrigo Silva 001; Frederico Gadelha Guimarães (Neurocomputing, 2022)

The Effect of Statistical Hypothesis Testing on Machine Learning Model Selection. - Marcel Chacon Gonçalves; Rodrigo Silva 001 (BRACIS (2), 2023)

FeatGeNN: Improving Model Performance for Tabular Data with Correlation-Based Feature Extraction. - Sammuel Ramos Silva; Rodrigo Silva 001 (BRACIS (1), 2023)

Seleção de Atributos para Predição de Tempo de Manutenção em Vagões Ferroviários: Uma Análise com Métodos de Filtro. - Josemar Coelho Felix; Rodrigo César Pedrosa Silva; Andrea Gomes Campos Bianchi (SBBD, 2024)