Abstarct: Optimization is one of the most critical aspects of the design and planning process. This is because most methods and algorithms belong to open-pit mines, which caused many researchers to argue that the Optimization of open-pit mines has reached saturation. In recent decades, the Optimization of underground mines has been considered by focusing on three main fields, including the Optimization of stope boundaries. This research aims to improve and develop an algorithm baxsed on Sens and Topal algorithm and Sandanayake algorithm. In this research, an algorithm for the determination of the final area of underground mines is presented. The proposed algorithm consists of four main steps in generating an economic block model, generating possible stopes, considering all the positive economic value of each other, and finally removal of blocks which have been repeated several times in final value calculations. This algorithm is coded in the PYTHON environment language. Also, in the last part of this research, this algorithm is compared with the Sandanayake algorithm. Eventually, this algorithm was compared in three dimensions with the Sandanayake algorithm, which resulted in 42% more profitability than the Sandanayake algorithm.