福州大学学报（自然科学版）2017，Vol.45Issue(2)：252-255,4.DOI:10.7631/issn.1000-2243.2017.02.0252
基于遗传算法的铜精矿品位预测模型
Prediction model of copper concentrate grade based on genetic algorithm
摘要
Abstract
Analyze the factory daily production report data of a certain copper in 2014, fitting the rela-tionship of the mill feed grade, ore dressing recovery rate, and the grade of concentrate. According to the relationship between the price and the grade of copper concentrate in Shanghai Metal Exchange, the function of the change and economic benefit of various technical indexes is determined. Based on the economic benefit and resource utilization, genetic algorithm is used to search for different technical index, and the corresponding index of optimum scheme is found. Practice has proved that this method is consistent with the actual situation of the plant, and can provide decision support for the scientific production of the plant, improve the economic benefit.关键词
精矿品位/交易价格/遗传算法/多目标优化/铜精矿Key words
concentrate grade/trading price/genetic algorithm/multi-objective optimization/copper concentrate分类
矿业与冶金引用本文复制引用
涂观海,刘建兴,王建法..基于遗传算法的铜精矿品位预测模型[J].福州大学学报（自然科学版）,2017,45(2):252-255,4.基金项目
福建省自然科学基金资助项目(2015J01200) （2015J01200）
福建省教育厅科技A类资助项目(JA13058) （JA13058）
