A unified fitness calculation method for automatic modeling algorithms

Author

Jiang, Dazhi ; Wang, Zhifei ; Sun, Haojun ; Du, Yulin

Author_Institution

Dept. of Comput. Sci., Univ. of Shantou, Shantou, China

fYear

2010

Firstpage

1569

Lastpage

1573

Abstract

As a branch of Evolutionary Computation (EC), Gene Expression Programming (GEP) and Multi Expression Programming (MEP) have been applied widely in Automatic Modeling. Based on the Gene Reading and Computing Machine, a unified and improved method named Improved Reading and Computing Machine (IGRCM) is presented to calculate the fitness of chromosome for two linear automatic modeling algorithms, which are GEP and MEP. The experimental results indicate that the unified IGRCM could save the CPU running time effectively.

Keywords

biology; cellular biophysics; genetic algorithms; modelling; automatic modeling algorithm; chromosome fitness; computing machine; evolutionary computation; gene expression programming; gene reading; modeling gene multiexpression programming; unified fitness calculation method; Biological cells; Computational modeling; Data structures; Evolutionary computation; Gene expression; Magnetic heads; Programming; Automatic Modeling; Evolutionary Computation; Gene Expression Programming; Multi Expression Programming;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation (WCICA), 2010 8th World Congress on

Conference_Location

Jinan

Print_ISBN

978-1-4244-6712-9

Type

conf

DOI

10.1109/WCICA.2010.5554258

Filename

5554258