Artificial Bee Colony Algorithm with Modified Operators of Determining the Profitable Food Sources for Identification the Models of Atmospheric Pollution by Nitrogen Dioxide
Mykola Dyvak, Natalia Porplytsya, Andriy Pukas, Iryna Voytyuk, Nazar Huliiev, Vitaliy Pryvrotskyy · 2020
In the article the method of structural identification of interval discrete dynamic models based on artificial bee colony algorithm is considered. Note, during the model building are used the observations results. The improvement of the computational scheme of this method by the using of new operators to determine the intensity of the investigation of “better” structures of interval discrete dynamic models is proposed. Comparison of the efficiency of these operators using was carried out on the example of the building of discrete models of nitrogen dioxide dynamics due to air pollution by harmful emissions of motor vehicles.