优化采选冶产品品位的遗传算法

The Genetic Algorithm for Optimizing the Product Grades in Mining, Mineral Processing and Smelting

为了使金属材料的生产获得最大的经济效益，需要综合考虑采矿、选矿、冶炼三者的生产关系，使各阶段的产品品位相互协调。对此，提出了优化采矿、选矿、冶炼三者产品品位的新方法，该方法用回归分析建立技术经济指标之间的关系，然后再用遗传算法搜索寻优，得出品位之间的最优组合。该方法已在黄金生产中获得成功应用。

in order to achieve the optimum economic results in metal production, the relationship amongmining. mineral processing and smelting should be comprehensively considered so as to coordinate the grades oftheir stage products. For this, a new method for optimizing their product grades is suggested which uses a regression analysis to establish the relationship between the technical and the economical indexes and then uses agenetic algorithm to search for the optimum ones so as to obtain the best combination of these grades. Themethod has been successfully applied in gold production.j