Applying FireFly Algorithm to solve the problem of balancing curricula
Autor
Rubio J.M.
Vidal-Silva C.L.
Soto R.
Madariaga E.
Johnson F.
Carter L.
Resumen
The problem of assigning a balanced academic curriculum to academic periods of a curriculum, that is, the balancing curricula, represents a traditional challenge for every educational institution which look for a match among students and professors. This article proposes a solution for the balancing curricula problem using an optimization technique based on the attraction of fireflies (FA) meta-heuristic. We perform a set of test and real instances to measure the performance of our solution proposal just looking to deliver a system that will simplify the process of designing a curricular network in higher education institutions. The obtained results show that our solution achieves a fairly fast convergence and finds the optimum known in most of the tests carried out. © 2018 The Science and Information (SAI) Organization Limited.
Colecciones
Ítems relacionados
Mostrando ítems relacionados por Título, autor o materia.
-
Conference Paper
Two swarm intelligence algorithms for the Set Covering problem (2020)
Crawford B.; Soto R.; Cuesta R.; Olivares-Suárez M.; Johnson F.; Olguín E. (SciTePress, 2014) -
Conference Paper
A comparison of three recent nature-inspired metaheuristics for the set covering problem (2020)
Crawford B.; Soto R.; Peña C.; Riquelme-Leiva M.; Torres-Rojas C.; Misra S.; Johnson F.; Paredes F. (Springer Verlag, 2015) -
Conference Paper
An artificial fish swarm optimization algorithm to solve set covering problem (2020)
Crawford B.; Soto R.; Olguín E.; Villablanca S.M.; Rubio Á.G.; Jaramillo A.; Salas J. (Springer Verlag, 2016)