基于一种改进的自适应遗传算法估算环已烷自催化氧化反应动力学参数

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基于一种改进的自适应遗传算法估算环已烷自催化氧化反应动力学参数

刘平乐^a; 邹丽珊^b; 罗和安^a; 王良芥^a; 郑金华^b

^a College of Chemical Engineering, Xiangtan University,Xiangtan 411105, China

^b College of Information Engineering and Technology, Xiangtan University,Xiangtan 411105,
China

收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2004-02-28 发布日期:2004-02-28
通讯作者: 刘平乐

Estimation of Kinetic Parameters for Autocatalytic Oxidation of Cyclohexane Based on a
Modified Adaptive Genetic Algorithm

LIU Pingle^a; ZOU Lishan^b; LUO He'an^a; WANG Liangjie^a; ZHENG Jinhua^b

^a College of Chemical Engineering, Xiangtan University,Xiangtan 411105, China

^b College of Information Engineering and Technology, Xiangtan University,Xiangtan 411105,
China

Received:1900-01-01 Revised:1900-01-01 Online:2004-02-28 Published:2004-02-28
Contact: LIU Pingle

摘要/Abstract

摘要： A modified genetic algorithm of multiple selection strategies, crossover strategies and
adaptive operator is constructed, and it is used to estimate the kinetic parameters in
autocatalytic oxidation of cyclohexane. The influences of selection strategy, crossover
strategy and mutation strategy on algorithm performance are discussed.This algorithm with a
specially designed adaptive operator avoids the problem of local optimum usually associated
with using standard genetic algorithm and simplex method. The kinetic parameters obtained
from the modified genetic algorithm are credible and the calculation results using these
parameters agree well with experimental data.Furthermore, a new kinetic model of
cyclohexane autocatalytic oxidation is established and the kinetic parameters are estimated
by using the modified genetic algorithm.

关键词: adaptive genetic algorithm;cyclohexane;autocatalytic oxidation;reaction kinetics

Abstract: A modified genetic algorithm of multiple selection strategies, crossover strategies and
adaptive operator is constructed, and it is used to estimate the kinetic parameters in
autocatalytic oxidation of cyclohexane. The influences of selection strategy, crossover
strategy and mutation strategy on algorithm performance are discussed.This algorithm with a
specially designed adaptive operator avoids the problem of local optimum usually associated
with using standard genetic algorithm and simplex method. The kinetic parameters obtained
from the modified genetic algorithm are credible and the calculation results using these
parameters agree well with experimental data.Furthermore, a new kinetic model of
cyclohexane autocatalytic oxidation is established and the kinetic parameters are estimated
by using the modified genetic algorithm.

Key words: adaptive genetic algorithm, cyclohexane, autocatalytic oxidation, reaction kinetics

刘平乐, 邹丽珊, 罗和安, 王良芥, 郑金华. 基于一种改进的自适应遗传算法估算环已烷自催化氧化反应动力学参数[J]. CIESC Journal.

LIU Pingle, ZOU Lishan, LUO He'an, WANG Liangjie, ZHENG Jinhua. Estimation of Kinetic Parameters for Autocatalytic Oxidation of Cyclohexane Based on a
Modified Adaptive Genetic Algorithm[J]. .

参考文献

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基于一种改进的自适应遗传算法估算环已烷自催化氧化反应动力学参数

Estimation of Kinetic Parameters for Autocatalytic Oxidation of Cyclohexane Based on a
Modified Adaptive Genetic Algorithm

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基于一种改进的自适应遗传算法估算环已烷自催化氧化反应动力学参数

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Estimation of Kinetic Parameters for Autocatalytic Oxidation of Cyclohexane Based on a
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