Ore Grouping Multi-Constraint Integration Benefit Greedy Optimization Method

Under the condition of satisfying the demand of smelter for ore quality, how to optimize the ore benefit in a certain period is a concerned problem. For a batch of ore, a multi constraint integrated greedy optimization algorithm (MICG)is proposed. According to the ore quality requirements, considering the content of each substance in the batch of ore, each ore is automatically allocated to a specific group, thus improving the sales profit of that batch of ore. Experiments show that the algorithm proposed in this paper has more advantages than artificial optimal grouping, and can guide effectively mining companies to mine ore.