A DNA genetic algorithm with reconstruct operator for chemical process modeling

Author

Xiao, Chen ; Ridong, Zhang

Author_Institution

Sch. of Autom., Hangzhou Dianzi Univeristy, Hangzhou, China

fYear

2011

fDate

15-17 July 2011

Firstpage

944

Lastpage

948

Abstract

A DNA genetic algorithm with reconstruct operator (rDNA-GA) is presented in this paper. In the proposed algorithm, potential solutions of the problems are represented as individuals with nucleotide bases, and genetic operators inspired by DNA operations are adopted over the individuals. Among the genetic operators, reconstruct operator is a new operator which is used to improve the diversity of the population through reconstructing the similar individuals of the population. The simulation results of two test functions show that rDNA-GA outperforms another method, AGA. Finally, rDNA-GA is used to estimate the parameters of a chemical engineering process, the hydrogen reaction models. And the result shows the effectiveness of the proposed algorithm compared with other reported models obtained by other algorithms.

Keywords

DNA; chemical engineering; genetic algorithms; hydrogenation; mathematical operators; DNA genetic algorithm with reconstruct operator; chemical engineering process; chemical process modeling; genetic operator; hydrogen reaction model; hydrogenation reaction; rDNA-GA; DNA; Genetic algorithms; Kinetic theory; Optimization; Parameter estimation; Predictive models; DNA; diversity of populaito; genetic operators; parameter estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on

Conference_Location

Hohhot

Print_ISBN

978-1-4244-9436-1

Type

conf

DOI

10.1109/MACE.2011.5987087

Filename

5987087