%0 Journal Article %1 IJACSA.2014.050123 %A AL-Madi, Nagham Azmi %D 2014 %J International Journal of Advanced Computer Science and Applications(IJACSA) %K (EA); (GAs); (HCBGA) (SGA) Algorithm Algorithms Based Community De Evolutionary Genetic Human Jongs’ Simple Sphere Standard functions, model,Genetic model; the %N 1 %T De Jong’s Sphere Model Test for a Human Community Based Genetic Algorithm Model (HCBGA) %U http://ijacsa.thesai.org/ %V 5 %X 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.

@article{IJACSA.2014.050123, abstract = {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]. }, added-at = {2014-02-21T08:00:08.000+0100}, author = {AL-Madi, Nagham Azmi}, biburl = {https://www.bibsonomy.org/bibtex/2c62c7afd2ec12308df27e289121e25ab/thesaiorg}, interhash = {35c6e539fba991219b6944d8dfa4bf4f}, intrahash = {c62c7afd2ec12308df27e289121e25ab}, journal = {International Journal of Advanced Computer Science and Applications(IJACSA)}, keywords = {(EA); (GAs); (HCBGA) (SGA) Algorithm Algorithms Based Community De Evolutionary Genetic Human Jongs’ Simple Sphere Standard functions, model,Genetic model; the}, number = 1, timestamp = {2014-02-21T08:00:08.000+0100}, title = {{De Jong’s Sphere Model Test for a Human Community Based Genetic Algorithm Model (HCBGA)}}, url = {http://ijacsa.thesai.org/}, volume = 5, year = 2014 }