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改进的全息搜索策略及其在化工优化中的应用
引用本文:郑启富,刘化章.改进的全息搜索策略及其在化工优化中的应用[J].化工学报,2006,57(10):2349-2354.
作者姓名:郑启富  刘化章
作者单位:浙江工业大学催化研究所, 浙江 杭州 310014;浙江工业大学浙西分校化工系, 浙江 衢州 324006
基金项目:浙江省工业催化重中之重学科开放基金
摘    要:引言 基于样本数据估计反应动力学参数是常见的化工优化问题.参数估计的通用规则是偏差最小化,许多经典的序贯类寻优方法都可用于这一目的,例如Powell共轭梯度法、模式搜索法、变度量法等.

关 键 词:全息搜索策略  遗传算法  优进策略  反应动力学  参数估计  渣油  加氢精制
文章编号:0438-1157(2006)10-2349-06
收稿时间:09 19 2005 12:00AM
修稿时间:2005-09-192006-04-18

Modified holographic research strategy and its application to optimization in chemical engineering
ZHENG Qifu,LIU Huazhang.Modified holographic research strategy and its application to optimization in chemical engineering[J].Journal of Chemical Industry and Engineering(China),2006,57(10):2349-2354.
Authors:ZHENG Qifu  LIU Huazhang
Affiliation:1. Catalysis Institute, Zhejiang University of Technology, Hangzhou 310014 Zhejiang, China ; 2 Department of Chemical Engineering, Attached to Zhejiang University of Technology, Quzhou 324006, Zhejiang , China
Abstract:Holographic research strategy (HRS) is a novel determinate optimization method.The principle of HRS is based on a special, two-dimensional presentation of a multidimensional space.This presentation was termed two-dimensional hologram.HRS translated the optimization operation in multidimensional space into finding better points in the neighborhood around the current best data points.In this way, HRS can find the global optimal parameters in all probability.However, HRS can〖DK〗’t be applied to optimize continuous variables, it was only used in optimizing discrete systems.Therefore, it is necessary of improving HRS and ensuring the optimization algorithm can being applied in multidimensional continuous systems.Modified holographic research strategy (MHRS) was designed for the purpose.MHRS changed continuous variables into discrete variables in the searching region firstly, and then found the optimum in the discrete system.In order to reduce the deviation between the continuous system and the discrete system, MHRS adopted iterative algorithm to shrink the searching region gradually according to the location of the current optimal value.Furthermore, in order to improve the efficiency of HRS in searching for the global optimum, random mutation operator was added to the optimizing process.Ten-dimensional Rastrigin function was applied to testing MHRS, the results demonstrated that its global optimization performance is superior to one of eugenic evolution genetic algorithm (EGA).Further, MHRS was applied to estimate the kinetic model parameters of residue hydrofining.Satisfactory results were obtained.
Keywords:holographic research strategy  genetic algorithm  eugenic evolution strategy  reactionkinetics  parameters estimation  residue  hydrofining
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