In this research, using the Ant Colony Optimization Algorithm, which is a branch of computational intelligence algorithms (inspired by the life of real ants), to model the density of the crust structure of northwestern Iran, perpendicular to the Alborz zones, Central Iran, Urmia-Dokhtar, Sanandaj-Sirjan, and Zagros, which are the most important geological events that have affected the Iranian plateau, have been studied and the efficiency of this algorithm has been studied. According to the obtained results, along with the sediment thickness profile, the thickness of the earth's crust and the depth of Moho are in good agreement with previous studies. Other results are the continental nature of the Caspian crust and the presence of roots with a density of 3,000 kg / m3 for the Zagros Mountains. Finally, the performance of the Ant Colony Optimization Algorithm was investigated. This algorithm has reached the best possible solution in a short time and has shown its high ability to converge to the best answer.