TY - JOUR
T1 - Applying FireFly Algorithm to solve the problem of balancing curricula
AU - Rubio, José Miguel
AU - Vidal-Silva, Cristian L.
AU - Soto, Ricardo
AU - Madariaga, Erika
AU - Johnson, Franklin
AU - Carter, Luis
N1 - Publisher Copyright:
© 2018 The Science and Information (SAI) Organization Limited.
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
KW - Attraction of fire-flies meta-heuristic
KW - Balanced academic curriculum
KW - Optimization
UR - http://www.scopus.com/inward/record.url?scp=85063009612&partnerID=8YFLogxK
U2 - 10.14569/IJACSA.2019.0100108
DO - 10.14569/IJACSA.2019.0100108
M3 - Article
AN - SCOPUS:85063009612
VL - 10
SP - 68
EP - 75
JO - International Journal of Advanced Computer Science and Applications
JF - International Journal of Advanced Computer Science and Applications
SN - 2158-107X
IS - 1
ER -