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
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