Development of a Genetic Algorithm for the Formation of Sports Teams

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Authors: Jorge Ramos Martinez, Juan Carlos Huerta Mendoza, David Tomás Vargas-Requena, Ramon Gerardo Tijerina Rodriguez, Sanjuanita Crescencia Ortiz Valadez
Cited by: 0

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