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


Nagham Azmi AL-Madi, Ahamad Tajudin Khader


Vol. 8  No. 3  pp. 179-185


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.


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