Abstarct: Blasting operation in the mine covers blasting pattern designing and production of fragmented rocks with appropriate fragmentation with the help of explosives inside the holes. In addition to this, other goals such as controlling fly rock and preventing to create unwanted fractures is also followed. Designing a suitable pattern is possible through its results` analysis including: fragmentation and swelling of blasted pile, pile geometry, the condition of remained rock mass and bench, existence of boulders in the pile, vibration, fly rock, air blast and correction of controllable parameters effective on blasting. In this research, first of all the characteristics of Angouran rocks including jointing and spacing of joints with removal of 1514 joint characteristics and discontinuity using scanline method were determined and compressive as well as tensional strength, P-wave velocity, etc. were determined by laboratory tests. In order to develop a criteria to provide blasting evaluation and to make a possible comparison between the blast parameters and select an appropriate blasting pattern, the quantity model of blasting evaluation with the help of classification of blasting results including fragmentation, muckpile condition, the number of boulders, backbreak and fly rock was built. For this purpose, the results of 16 blasts in Angouran mine along with pattern, explosives used, hole depths, the blocks drilling time, loading time and volume of the blasted rocks was registered. For drawing particle size distribution curve of muckpiles, an algorithm in Matlab software was proposed for detection of rock fragments baxsed on segmentation algorithm. Rock mechanics parameters and condition of the blocks joints was determined baxsed on the location of each block. Moreover, powder factor, special drilling and special loading of blasted blocks were calculated using the recorded information. Using the global criterion, making the decision matrix dimensionless, and defining the appropriate conditions for the results obtained, a scalar value is devoted for the blasts, whose larger values denote a larger deviation from the proper blasting conditions and express undesirable blasts regarding the blasting results. By taking into consideration the mining operation conditions and weights of the results obtained, the influence of the results obtained on the mining operation index is also investigated using the genetic algorithm. The results show that the pile condition including the ratio of muckpile height to bench height and lateral muckpile spread have the greatest impact on performance index, then fragmentation has the greater effect. with classification of blasting in five categories, 9 blasts in very good category, 4 blasts in good category, 2 blasts in relatively weak and 1 blast in weak category. baxsed on blasts with good and very good category and baxsed on the characteristics of rock mass, a relationship for calculating the appropriate powder factor was provided. From the received relationship, the amount of powder factor was calculated which its pattern information was available in Glyn Bends located in North Wales. The calculated results show a 5% error. Moreover, the possibility of predicting the blasting results that have the greatest impact on mining operations baxsed on the pattern parameters and rock mass characteristics were investigated.