Development of a Genetic Algorithm for the Formation of Sports Teams
Abstract
This project addresses a significant challenge in the formation of sports teams within the university environment of the Reynosa Rodhe Multidisciplinary Academic Unit (UAMRR) of the Autonomous University of Tamaulipas (UAT). The project identifies the need to establish balanced and competitive teams that reflect the diversity of skills in sports activities. The project proposes the development of a genetic algorithm aimed at the automatic generation of optimal sports teams using techniques based on natural evolutionary processes, such as selection, crossing, and mutation. This algorithm is integrated into a web application with a database that stores detailed information about the students. It is developed in an intuitive design to ensure an optimal user experience and facilitate application navigation. Smart citations: https://scite.ai/reports/10.61467/2007.1558.2026.v17i2.1192Dimensions.Open Alex.
Fields of Study & Subjects
Metaheuristic Optimization Algorithms Research
Scheduling and Timetabling Solutions
Evolutionary Algorithms and Applications
Publication details
- Journal / source
- International Journal of Combinatorial Optimization Problems and Informatics.
- Volume
- 17
- Issue
- 2
- Pages
- 283–295
- Publication date
- 16 February 2026
- Language
- EN