A C++ application programming interface for biased random-key genetic algorithms RF Toso, MGC Resende Optimization Methods and Software 30 (1), 81-93, 2015 | 152 | 2015 |
The multi-parent biased random-key genetic algorithm with implicit path-relinking and its real-world applications CE Andrade, RF Toso, JF Gonçalves, MGC Resende European Journal of Operational Research 289 (1), 17-30, 2021 | 69 | 2021 |
An experimental comparison of biased and unbiased random-key genetic algorithms JF Gonçalves, MGC Resende, RF Toso Pesquisa Operacional 34, 143-164, 2014 | 39 | 2014 |
A biased random-key genetic algorithm for the Steiner triple covering problem MGC Resende, RF Toso, JF Gonçalves, RMA Silva Optimization Letters 6, 605-619, 2012 | 37 | 2012 |
Biased random-key genetic algorithms for the winner determination problem in combinatorial auctions CE de Andrade, RF Toso, MGC Resende, FK Miyazawa Evolutionary computation 23 (2), 279-307, 2015 | 35 | 2015 |
Biased and unbiased random-key genetic algorithms: An experimental analysis JF Gonçalves, MGC Resende, RF Toso AT&T Labs Research, Florham Park, 74-76, 2012 | 29 | 2012 |
Chiller plant optimization-an integrated optimization approach for chiller sequencing and control A Torzhkov, P Sharma, C Li, R Toso, A Chakraborty 49th IEEE Conference on Decision and Control (CDC), 2741-2746, 2010 | 18 | 2010 |
Wind turbine fault detection: a semi-supervised learning approach with automatic evolutionary feature selection FPG de Sá, DN Brandão, E Ogasawara, RC Coutinho, RF Toso 2020 International Conference on Systems, Signals and Image Processing …, 2020 | 15 | 2020 |
Experimental analysis of algorithms for updating minimum spanning trees on graphs subject to changes on edge weights CC Ribeiro, RF Toso Experimental Algorithms: 6th International Workshop, WEA 2007, Rome, Italy …, 2007 | 14 | 2007 |
Fault identification in wind turbines: a data-centric machine learning approach D Pinna, R Toso, R Coutinho, AI Pereira, D Brandão 2022 International Conference on Computational Science and Computational …, 2022 | 3 | 2022 |
Restart strategy for biased random-key genetic algorithms MGC Resende, L Morán-Mirabal, JL González-Velarde, RF Toso Technical report, AT& Labs Research, Florham Park, NJ, 2013 | 2 | 2013 |
Modelo de Otimização para Transporte de Cargas em Ambientes Reduzidos, 2004 CE Andrade, FLC Batista, RF Toso Monografia, DCC, UFLA, Lavras, 0 | 2 | |
Obtaining the Grundy chromatic number: How bad can my greedy heuristic coloring be? MC Silva, RA Melo, MGC Resende, MC Santos, RF Toso Computers & Operations Research, 106703, 2024 | 1 | 2024 |
Fault Classification of Wind Turbine: A Comparison of Hyperparameter Optimization Methods D Pinna, R Toso, G Semaan, F de Sá, AI Pereira, Â Ferreira, J Soares, ... International Conference on Optimization, Learning Algorithms and …, 2023 | 1 | 2023 |
Identificação de Falhas em Turbinas Eólicas Utilizando Abordagens de Aprendizado de Máquina DR Pinna, RF Toso, K Belloze, F de Sá, R Guerra, DN Brandão Simpósio Brasileiro de Banco de Dados (SBBD), 439-444, 2023 | 1 | 2023 |
Algoritmos genéticos de chaves aleatórias enviesadas para o problema da coloração de Grundy M Carvalho, R Melo, MC Santos, RF Toso, MG de Carvalho Resende Galoá, 2023 | 1 | 2023 |
Wind turbine fault detection: a semi-supervised learning approach with two different dimensionality reduction techniques FPG Sá, RC Coutinho, E Ogasawara, D Brandão, RF Toso International Journal of Innovative Computing and Applications 14 (1-2), 67-77, 2023 | 1 | 2023 |
Formulações de programação inteira para o problema da coloração de Grundy M Carvalho, R Melo, MC Santos, RF Toso, MGC Resende Galoá, 2023 | 1 | 2023 |
A heuristic for non-convex variance-based clustering criteria RF Toso, CA Kulikowski, IB Muchnik Experimental Algorithms: 11th International Symposium, SEA 2012, Bordeaux …, 2012 | 1 | 2012 |
Modelo de otimização para transporte de cargas em ambientes reduzidos CE Andrade, FLC Batista, R Toso Monografia, Departamento de Ciência da Computação, Universidade Federal de …, 2004 | 1 | 2004 |