Rodrigo F. Toso

12 papers B 1Journal 6Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
The connected Grundy coloring problem: Formulations and a local-search enhanced biased random-key genetic algorithm.
Comput. Oper. Res.
Mateus C. Silva, Rafael A. Melo, Mauricio G. C. Resende, Marcio Costa Santos, Rodrigo F. Toso
2024 J jnl
Obtaining the Grundy chromatic number: How bad can my greedy heuristic coloring be?
Comput. Oper. Res.
Mateus C. Silva, Rafael A. Melo, Mauricio G. C. Resende, Marcio Costa Santos, Rodrigo F. Toso
2024 J jnl
The connected Grundy coloring problem: Formulations and a local-search enhanced biased random-key genetic algorithm.
CoRR
Mateus C. Silva, Rafael A. Melo, Mauricio G. C. Resende, Marcio Costa Santos, Rodrigo F. Toso
2023 — conf
Fault Classification of Wind Turbine: A Comparison of Hyperparameter Optimization Methods.
OL2A (2)
Danielle R. Pinna, Rodrigo F. Toso, Gustavo Silva Semaan, Fernando P. G. de Sá, Ana I. Pereira, Ângela Paula Ferreira, Jorge Soares, Diego N. Brandão
2023 — conf
Identificação de Falhas em Turbinas Eólicas Utilizando Abordagens de Aprendizado de Máquina.
SBBD
Danielle R. Pinna, Rodrigo F. Toso, Kele T. Belloze, Fernando P. G. de Sá, Raphael Guerra, Diego N. Brandão
2022 — conf
Fault Identification in Wind Turbines: A Data-Centric Machine Learning Approach.
CSCI
Danielle R. Pinna, Rodrigo F. Toso, Rafaelli Coutinho, Ana Isabel Pereira, Diego N. Brandão
2021 J jnl
The Multi-Parent Biased Random-Key Genetic Algorithm with Implicit Path-Relinking and its real-world applications.
Eur. J. Oper. Res.
Carlos Eduardo de Andrade, Rodrigo F. Toso, José Fernando Gonçalves, Mauricio G. C. Resende
2020 — conf
Wind Turbine Fault Detection: A Semi-Supervised Learning Approach With Automatic Evolutionary Feature Selection.
IWSSIP
Fernando P. G. de Sá, Diego N. Brandão, Eduardo S. Ogasawara, Rafaelli de C. Coutinho, Rodrigo F. Toso
2015 J jnl
A C++application programming interface for biased random-key genetic algorithms.
Optim. Methods Softw.
Rodrigo F. Toso, Mauricio G. C. Resende
2012 B conf
A Heuristic for Non-convex Variance-Based Clustering Criteria.
SEA
Rodrigo F. Toso, Casimir A. Kulikowski, Ilya B. Muchnik
2012 J jnl
A biased random-key genetic algorithm for the Steiner triple covering problem.
Optim. Lett.
Mauricio G. C. Resende, Rodrigo F. Toso, José Fernando Gonçalves, Ricardo M. A. Silva
2007 — conf
Experimental Analysis of Algorithms for Updating Minimum Spanning Trees on Graphs Subject to Changes on Edge Weights.
WEA
Celso C. Ribeiro, Rodrigo F. Toso