Dynamic optimization of production plans for multi-metal underground mines

In order to realize the dynamic and scientific optimization of production plans for multi-metal underground mines,we convert underground mining processes into a mathematic model constrained by several conditions to meet technical and economic requirements as well as spatial sequence relation,which aims to maximum profits. Operating units including cutting,blasting,mining and filling are treated as a whole process in the model. The underground mining condition of equilibrium and continuity is transformed into a space constraint. Considering the mining state of ore blocks as the decision variable,a model of production planning optimization is constructed by binary integer programming and calculated by an algorithm based on the artificial bee colony model. The optimization model was applied in a multi-metal underground mine in Tibet in southwestern China to optimize the production plan in the next three years which was illustrated by three-dimensional visualization display. The optimal solution indicated that the dynamic adjustment of the mining area could guarantee continuous production and increase the economic benefit of mine exploitation.