2023-01-182023-01-182022-12-13ALMEIDA, Renua Meireles. Aprendizagem supervisionada na predição de curvas de valores fitness em algoritmos genéticos. Orientador: Otávio Noura Teixeira. 2022. [13] f. Trabalho de Curso (Bacharelado em Engenharia da Computação) – Faculdade de Engenharia da Computação, Campus Universitário de Tucuruí, Universidade Federal do Pará, Tucuruí, 2022. Disponível em: https://bdm.ufpa.br:8443/jspui/handle/prefix/5112. Acesso em:.https://bdm.ufpa.br/handle/prefix/5112This paper continues the efforts of a recent approach that proposed the prediction of fitness value curves in the evolutionary process of Genetic Algorithms (GAs). The current work proposes to deepen and suggest new methods and environments in order to understand, among other aspects, the influences of the size and quality of the dataset, as well as the characteristics of the problems used. It was found that the new methods contributed to a more accurate understanding, allowing to highlight some difficulties that the model is susceptible to, mainly caused by little executions data available for training when the problem solved by the GA does have many local minimums.Acesso AbertoAlgoritmos genéticosCNPQ::ENGENHARIASCNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::METODOLOGIA E TECNICAS DA COMPUTACAOTrabalho de Curso - Graduação - Artigo