DocumentCode :
1682614
Title :
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
Link To Document :
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