文献类型：期刊文献

中文题名：基于多目标进化算法的对二甲苯氧化反应过程优化操作

英文题名：Optimization of p-xylene oxidation reaction based on multi-objective evolutionary algorithm

作者：祁荣宾[1];钱锋[1]

机构：[1]华东理工大学化工过程先进控制和优化技术教育部重点实验室,上海200237

年份：2010

卷号：61

期号：12

起止页码：3155

中文期刊名：化工学报

外文期刊名：CIESC Journal

收录：CSTPCD;;EI(收录号：20110613651367);Scopus;北大核心:【北大核心2008】；CSCD:【CSCD2011_2012】；

基金：国家重点基础研究发展计划项目(2009CB320603) ;国家高技术研究发展计划项目(2008AA042902) ;高等学校博士学科点专项科研基金新教师基金项目(200802511011) ;中央高校基本科研业务费专项资金;上海市重点学科建设项目(B504)~~

语种：中文

中文关键词：多目标;进化;对二甲苯氧化反应;操作条件优化

外文关键词：multi-objective evolution p-xylene oxidation reaction operation condition optimization

摘要：针对单目标优化算法在求解优化问题时普遍存在易陷入局部最优的缺陷,本文提出采用基于精英选择和个体迁移的多目标优化方法来求解单目标优化问题,通过对原问题目标进行有效分解,将其分解为多个子目标,通过对多个子目标的优化来扩大搜索范围,加快算法的收敛速度。仿真结果表明,与文献中方法相比,采用多目标方法来求解单目标问题能显著提高算法收敛速度,将其应用于对二甲苯(PX)氧化反应过程的优化操作,在相同计算成本条件下,醋酸和PX燃烧损失明显下降,成本损失大幅减少。
Aiming at the limitation that the single-objective optimizing algorithm is generally easy to trap into local optimal solution,multi-objective evolutionary algorithm based on elitist selection and individual migration was proposed for single-objective optimization problem.Decomposing the original single objective into multi-objectives,it could broaden its searching extension and quicken its converging speed.Simulation results showed that the proposed method could obviously speed up its converging performance.Furthermore,the application to p-xylene oxidation reaction indicated that the proposed method could obviously reduce acetic acid and p-xylene combustion loss,greatly reduce production cost at the same numerical computing cost.