Abstract: In view of the basic characteristics of open-pit mine production and the requirements of short-term production plan， and in order to obtain the ore grade and the minimal economic cost of open-pit mines， an optimization model of short-term production plan is established. Based on MATLAB software， the hybrid intelligent algorithm of genetic particle swarm optimization is used to solve the model. Taking a limestone open-pit mine as a case， the research results are compared with the actual production indexes of the open-pit mine. The results show that this model is suitable for making the plan of the short-term mining production. The optimization results guarantee the balance among the three kinds of mine production indexes， including ore grade， ore output and production profit. As a result， this optimized model is helpful to increase the economic benefit of open-pit mine.

Key words: Open-pit mine, Short term production plan, Hybrid particle swarm optimization algorithm, Multi-objective optimization model