A unified fitness calculation method for automatic modeling algorithms

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) i...

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Bibliographic Details
Published in:	2010 8th World Congress on Intelligent Control and Automation pp. 1569 - 1573
Main Authors:	Dazhi Jiang, Zhifei Wang, Haojun Sun, Yulin Du
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.07.2010
Subjects:	Automatic Modeling Biological cells Computational modeling Data structures Evolutionary computation Gene expression Gene Expression Programming Magnetic heads Multi Expression Programming Programming
Online Access:	Get full text
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Summary:	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.
DOI:	10.1109/WCICA.2010.5554258