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基于遗传算法的连续碳酸化分解过程模糊优化
引用本文:胡志坤,阳春华,桂卫华.基于遗传算法的连续碳酸化分解过程模糊优化[J].金属材料与冶金工程,2007,35(5):34-37.
作者姓名:胡志坤  阳春华  桂卫华
作者单位:中南大学信息科学与工程学院,湖南,长沙,410083
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 , 湖南省自然科学基金
摘    要:提出了基于遗传算法的连续碳酸化分解过程操作模式模糊优化方法.首先建立基于模糊规则和模糊推理的模型,然后以稳态误差为优化目标,应用混合编码的遗传算法同时优化模糊控制隶属度和推理规则,将获得的模糊规则应用于末槽分解率的控制,获得了良好的应用效果.

关 键 词:连续碳酸化分解  模糊规则  分解率  遗传算法  基于遗传算法  连续  碳酸化  分解过程  模糊优化  GENETIC  ALGORITHM  BASED  DECOMPOSITION  CARBONATION  CONTINUOUS  PROCESS  OPTIMIZATION  效果  模糊控制  分解率  推理规则  隶属度  同时优化  混合编码  应用
文章编号:1005-6084(2007)05-0034-04
修稿时间:2007-04-18

FUZZY OPTIMIZATION FOR THE PROCESS OF CONTINUOUS CARBONATION DECOMPOSITION BASED ON GENETIC ALGORITHM
HU Zhi-kun,YANG Chun-hua,GUI Wei-hua.FUZZY OPTIMIZATION FOR THE PROCESS OF CONTINUOUS CARBONATION DECOMPOSITION BASED ON GENETIC ALGORITHM[J].Metal Materials And Metallurgy Engineering,2007,35(5):34-37.
Authors:HU Zhi-kun  YANG Chun-hua  GUI Wei-hua
Affiliation:School of Information Science and Engineering, Central South University, Changsha 410083, China
Abstract:A fuzzy optimization method based on genetic algorithm for the operational process of continuous carbonation decomposition was proposed. First establishing the control model including fuzzy rules and fuzzy induction, afterwards with the steady state error acting as optimum target, and membership functions and fuzzy reference rules were optimized by a novel genetic algorithms, which had characteristics of hybrid lengthvarying coding scheme. This fuzzy rules were applied to control the resolution ratio of last cell, and results showed that it was practical.
Keywords:continuous carbonation decomposition  fuzzy rules  resolution ratio  genetic algorithm
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