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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Vydáno v:	2010 8th World Congress on Intelligent Control and Automation s. 1569 - 1573
Hlavní autoři:	Dazhi Jiang, Zhifei Wang, Haojun Sun, Yulin Du
Médium:	Konferenční příspěvek
Jazyk:	angličtina
Vydáno:	IEEE 01.07.2010
Témata:	Automatic Modeling Biological cells Computational modeling Data structures Evolutionary computation Gene expression Gene Expression Programming Magnetic heads Multi Expression Programming Programming
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Popis
Shrnutí:	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