文章基本信息

标题：De Jong’s Sphere Model Test for a Human Community Based Genetic Algorithm Model (HCBGA)
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作者：Nagham Azmi AL-Madi
期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2014
卷号：5
期号：1
DOI：10.14569/IJACSA.2014.050123
出版社：Science and Information Society (SAI)
摘要：A new structured population approach for genetic algorithm, based on the custom, behavior and pattern of human community is provided. This model is named the Human Community Based Genetic Algorithm (HCBGA) model. It includes gender, age, generation, marriage, birth and death. Using the De Jong’s first function 1, “The Sphere Model” comparisons between values and results concerning the averages and best fits of both, the Simple Standard Genetic Algorithm (SGA), and the Human Community Based Genetic Algorithm (HCBGA) model are obtained. These results are encouraging in that the Human Community Based Genetic Algorithm (HCBGA) model performs better in finding best fit solutions of generations in different populations than the Simple Standard Genetic Algorithm. The HCBGA model is an evolution of the simple Genetic Algorithm (SGA). The result of this paper is an extended of the result concerning algorithm in [6].
关键词：thesai; IJACSA; thesai.org; journal; IJACSA papers; Genetic Algorithms (GAs); Evolutionary Algorithms (EA); Simple Standard Genetic Algorithms (SGA); Human Community Based Genetic Algorithm (HCBGA) model; De Jongs’ functions; the Sphere model