A hybrid PSO-SA scheme for improving the accuracy of fuzzy time series forecasting models

In line with that research trend, this paper proposes a hybrid algorithm combining particle swarm optimization with the simulated annealing technique (PSO-SA) to optimize the length of intervals to improve forecasting accuracies.