Ore blending of underground mines based on an immune clone selection optimization algorithm

A mathematical model of ore blending was constructed for underground mines on the basis of an immune clone selection optimization algorithm. In combination with the actual production of an underground zinc mine in China, the model was calculated by programming computer software with Java. The calculated results were compared with the production plan and the data calculated by a fuzzy optimization method. It is shown that the immune clone selection algorithm is feasible and reliable for ore blending of an underground mine.