期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2008
卷号：8
期号：3
页码：179-185
出版社：International Journal of Computer Science and Network Security
摘要：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.
关键词：Genetic Algorithms (GAs), ,Evolutionary Algorithms (EA), Simple Standard Genetic Algorithms (SGA), Social-Based Genetic Algorithm (SBGA), De Jongs’ functions, the Sphere model
