摘要
为降低原油采购成本和生产符合质量要求的产品,将原油的选择与混合看作一个整体,基于原油属性数据信息,采用偏最小二乘法建立原油选择与混合优化的非线性混合整数规划模型,应用分支定界算法对模型进行求解,并通过具体实例分析证实了模型和算法的有效性。
In order to reducing purchase cost of crude oil and producing products that meet the quality requirements,the selection and blend of crude oil were regarded as a whole and applied partial least squares（PLS） method to establish nonlinear mixed integer programming model based on data of crude oil properties for crude oil selection and blend optimization.Branch and bound algorithm was used to solve the model.The validity of the model and algorithm are confirmed by analysis of specific cases.
出处
《化工自动化及仪表》
CAS
北大核心
2010年第8期7-10,共4页
Control and Instruments in Chemical Industry
基金
江苏省自然科学基金资助项目(BK2009356)
南京工业大学青年教师学术基金资助项目
关键词
原油选择
混炼比
偏最小二乘法
优化
selection of crude oil
blend ratios
PLS
optimization
