Prediction of Air Quality Index using genetic programming

The Air Quality Index (AQI) is a tool used to measure the impact of air pollution on health over time. We present a new way for using GP to evolve models for AQI forecasting in this work GP can evolve more accurate AQI forecasting models than other standard machine learning algorithms, according to experimental results using datasets obtained from various stations across multiple cities in India.