Multiple change point detection on air pollution via genetic algorithms with bayesian-MDL on non-homogeneous Poisson periods
In this talk, the change points of the time series of PM10 of the city of Bogotá are considered. The number of change points and their respective locations are determined using the genetic algorithm. This algorithm considers the interaction of two chromosomes (mother and father) and their mutations, to conceive new generations of descendants …