Sadaf Taghipooritabrizi - Master student of Computer Engineering, Islamic Azad University of Tehran
Arash Taghipooritabrizi - Master student of Electronic Electrical Engineering, Islamic Azad University of Tehran

Noise pollution is one of the challenges of urban environments that can significantly affect human physical and mental health and labor productivity. Therefore, paying attention to the modeling of noise pollution caused by traffic, such as road noise can help to control the level of this pollution. The methods that have dealt with this issue are more based on regression analysis and other methods have received less attention. This paper is based on optimization based on optimization using four techniques; Genetic algorithm, Hockey and Jews algorithm, simulated annealing and refrigeration and community proofing have achieved the process of simulating the subject. The results of this study showed that there is a significant relationship between the measured data and the calculated values. Finally, comparing the model extracted from the research with the existing statistical models, showed the advantages of the proposed model.

Artificial Intelligence, Genetic Algorithm, Data Mining, Traffic, Software