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Title

De Jong¡¯s Sphere Model Test for A Social-Based Genetic Algorithm (SBGA)

Author

Nagham Azmi AL-Madi, Ahamad Tajudin Khader

Citation

Vol. 8  No. 3  pp. 179-185

Abstract

In this paper, we used the De Jong¡¯s first function 1, ¡°The Sphere Model¡± to compare values and results concerning the averages and best fits of both, the Simple Standard Genetic Algorithm (SGA), and a new approach of Genetic Algorithms named Social-Based Genetic Algorithm (SBGA). Results from the Sphere Model test on Social-Based Genetic Algorithms (SBGA) are obtained. These results are encouraging in that the Social-Based Genetic Algorithms (SBGA) performs better in finding best fit solutions of generations in different populations than the Simple Standard Genetic Algorithm.

Keywords

Genetic Algorithms (GAs), ,Evolutionary Algorithms (EA), Simple Standard Genetic Algorithms (SGA), Social-Based Genetic Algorithm (SBGA), De Jongs¡¯ functions, the Sphere model

URL

http://paper.ijcsns.org/07_book/200803/20080326.pdf