Abstract
The aim of this research work is to help assessing the convenience of using the metaheuristic method of genetic algorithms to solve problems for the allocation of academic resources (teachers, classrooms, class hours and subjects in of higher education institutions. By studying the impact of size of the class, the availability of teachers and the affinity of teachers with subjects in the results achieved through genetic algorithms and comparing the time required to find a good solution to assign these resources and the optimum solution achieved. The purpose of knowing the effects studied in the application of the genetic algorithm's method was obtained. There were indications of the impact that the variation in each of the parameters has on the time necessary to reach a solution, which will help to evaluate the convenience of using these solution options.
Cite
CITATION STYLE
Salazar, A. F., López, J. F., Tavizón, A., & Araiza-Vázquez, M. J. (2019). Estudio de un Algoritmo Genético para la Administración Académica. Formación Universitaria, 12(4), 63–72. https://doi.org/10.4067/s0718-50062019000400063
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