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基于模糊自适应遗传算法的数据校正方法
引用本文:高建喜,董宏光,黄金杰,韩志忠,许晓鸣.基于模糊自适应遗传算法的数据校正方法[J].化工自动化及仪表,2007,34(4):9-14.
作者姓名:高建喜  董宏光  黄金杰  韩志忠  许晓鸣
作者单位:1. 上海交通大学,自动化系,上海,200240
2. 大连理工大学,化工学院,辽宁,大连,116023
3. 上海交通大学,自动化系,上海,200240;上海理工大学,上海,200093;上海系统科学研究院,上海,200093
基金项目:国家重点基础研究发展计划(973计划) , 国家自然科学基金
摘    要:针对数据校正中的非线性数据分类还比较困难的问题,提出表上作业法,结合遗传算法同时进行数据协调与过失误差侦破.并将模糊数据协调模型中的三角形约束引入遗传算法界定其变异上下限,还对交叉算子进行自适应改进,从而形成了基于模糊自适应的数据校正方法并用该方法对一个稳态多组分精馏过程进行大量仿真试验,结果表明了算法的有效性.

关 键 词:数据协调  过失误差侦破  遗传算法  表上作业法  模糊  自适应
文章编号:1000-3932(2007)04-0009-05
修稿时间:2007-06-21

Data Rectification Based on Fuzzy Self- adaptability Genetic Algorithm
GAO Jian-xi,DONG Hong-guang,HUANG Jin-jie,HAN Zhi-zhong,XU Xiao-ming.Data Rectification Based on Fuzzy Self- adaptability Genetic Algorithm[J].Control and Instruments In Chemical Industry,2007,34(4):9-14.
Authors:GAO Jian-xi  DONG Hong-guang  HUANG Jin-jie  HAN Zhi-zhong  XU Xiao-ming
Affiliation:1. Automation Department, Shanghai Jiaotong University,Shanghai 200240, China; 2. Chemical Engineering,Dalian University of Technology,Dalian 116023, China ; 3. Shanghai University of Technology, Shanghai 200093, China ; 4. Shanghai Academy of Systems Science, Shanghai 200093, China
Abstract:An on-table-job approach on classifying the nonlinear data within the data rectification was presented, with which the data reconciliation can proceed more accurately. The triangular fuzzy distribution of the fuzzy data reconciliation model was introduced into the genetic algorithm for the up and down limitations of the mutation. The crossover operator was modified by self-adaptability. So a method of data reconciliation is formulated based on fuzzy adaptability. Lots of simulations have been done about the process of steady multi-components rectify by this method. The resuits show that the algorithm is effective.
Keywords:data reconciliation  gross error detection  genetic algorithm  on-table-job approach  fuzzy  self-adaptability
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