Improving practice sports in a largest city using a Cultural Algorithm

The paper discusses the innovative sense of using Decision Support System based on a Bioinspired Algorithm related with Social Modelling in the build of three different scenarios to analyze the future promotion of sports in a larger city in Mexico, this research which permits select a specific number of locations to practice each one of 47 sports –In a time horizon of 20 years-related with a National Games to children and young with a range of age of 9 to 17 years old, these sports are evaluated from a repository with information of 11 annual events. Each sport was analyzed to built their performance during different times and scenarios and determine the viability of their practice in the time horizon using at formal methodology based on a Bioinspired Algorithms. The group of 47 sports practiced on National Games is analyzed by obtain the most representative future scenario to determine which of them try to improve the social cohesion in the city and their perspectives of determine the regular practice in the life day. A case of study is presented regarding to the proposal horizons using data obtained from the diversity cultural patterns. Some futures conjectures and open future analytical works in the Social Modeling studies are described. The intention of the present research is to apply the computational properties; in this case of established a Temporal model of sportive promotion in a larger city in Mexico. Combined to this, we analyzed the selection and location of diverse places to practice each sport using a equation of similarity. The set of study allowed analyzing the individual features of each sport with the emulation from set matching features (genre, economy, recreational aspects in others). By means of this is possible to predict the best location to practice, this research tries to explain this representation of social behavior.