Author: Silas Garrido
A Genetic Algorithm (GA) is a search algorithm that adapts heuristics based on evolutionary ideas of natural selection and genetics to solve multidimensional optimization problems. Based on this idea it was developed a specific GA [1] to optimize the values of the parameters of concept drift detection methods. The corresponding code can be downloaded via the link below:
[1] Silas G. T. C. Santos, Roberto S. M. Barros, and Paulo M. Gonçalves Jr., “Optimizing the Parameters of Drift Detection Methods using a Genetic Algorithm” in IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2015.
Silas Garrido - sgtcs@cin.ufpe.br