Parameters Identification Method of Interval Discrete Dynamic Models of Air Pollution Based on Artificial Bee Colony Algorithm

A new method for parametric identification of interval discrete dynamic models based on artificial bee colony algorithm has been proposed and justified. Proposed method is based on a new mathematical description of a searching process of a global minimum of discrete non-linear objective function under given constraints for the model parameters values. An example of the method application for identification of interval model of Carbon monoxide distribution process on a straight section of a street due to uniform vehicle traffic with a constant emission intensity is given. Higher efficiency of the proposed method compared to the existing methods of random search is shown.