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A biased random-key genetic algorithm for the Steiner triple covering problem.

, , , and . Optim. Lett., 6 (4): 605-619 (2012)

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The Multi-Parent Biased Random-Key Genetic Algorithm with Implicit Path-Relinking and its real-world applications., , , and . Eur. J. Oper. Res., 289 (1): 17-30 (2021)A biased random-key genetic algorithm for the Steiner triple covering problem., , , and . Optim. Lett., 6 (4): 605-619 (2012)Fault Identification in Wind Turbines: A Data-Centric Machine Learning Approach., , , , and . CSCI, page 565-568. IEEE, (2022)A C++application programming interface for biased random-key genetic algorithms., and . Optim. Methods Softw., 30 (1): 81-93 (2015)Identificação de Falhas em Turbinas Eólicas Utilizando Abordagens de Aprendizado de Máquina., , , , , and . SBBD, page 439-444. SBC, (2023)A Heuristic for Non-convex Variance-Based Clustering Criteria., , and . SEA, volume 7276 of Lecture Notes in Computer Science, page 381-392. Springer, (2012)Experimental Analysis of Algorithms for Updating Minimum Spanning Trees on Graphs Subject to Changes on Edge Weights., and . WEA, volume 4525 of Lecture Notes in Computer Science, page 393-405. Springer, (2007)Wind Turbine Fault Detection: A Semi-Supervised Learning Approach With Automatic Evolutionary Feature Selection., , , , and . IWSSIP, page 323-328. IEEE, (2020)Fault Classification of Wind Turbine: A Comparison of Hyperparameter Optimization Methods., , , , , , , and . OL2A (2), volume 1982 of Communications in Computer and Information Science, page 229-243. Springer, (2023)