华东理工大学学报：自然科学版2012，Vol.38Issue(6)：712-717,6.
基于Kriging代理模型的PX氧化过程优化
PX Oxidation Process Optimization Based on Kriging Surrogate Model
摘要
Abstract
Based on the process simulation model, complex chemical process optimization often takes a long time and has low efficiency. By using latin hypercube sampling and Kriging modeling method, a multi-objective optimization strategy based on Kriging model is proposed, then this strategy is applied to PX oxidation reaction process optimization. The simulation results show that the precision of the established Kriging surrogate model for three goals output is less than 1~. Improved multi-objective particle algorithm is used to optimize Kriging surrogate model, not only global optimal solution can be obtained, but also running time is saved obviously compared with the process simulation model. Therefore, Kriging model can take place of the PX process simulation model to realize optimization at the condition of meeting the requirement of accuracy, and has high optimization efficiency.关键词
多目标优化/拉丁超立方采样/Kriging代理模型/PX氧化过程Key words
multi-objective optimization/latin hypercube sampling/Kriging surrogate model/PXoxidation process分类
信息技术与安全科学引用本文复制引用
祁荣宾,何镓梁,靳文浩,钱锋..基于Kriging代理模型的PX氧化过程优化[J].华东理工大学学报：自然科学版,2012,38(6):712-717,6.基金项目
国家自然科学基金重点项目 （）
国家自然科学基金 （）
国家“863”计划 （）
中央高校基本科研业务费专项 （）
上海市重点学科建设项目 （）
