Open AccessOptimization of the allocation of academic schedules through artificial intelligence techniques
Author(s) -
Andrés Mauricio Puentes Velásquez,
T. Velásquez-Pérez,
A. M. Puentes
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1403/1/012019
Subject(s) - institution , computer science , task (project management) , academic institution , order (exchange) , operations research , optimal allocation , artificial intelligence , management science , mathematical optimization , engineering , economics , management , mathematics , law , political science , finance , library science
The programming or assignment of academic schedules in educational institutions has become an important global problem, this is due to the fact that it implies great efforts in time and resources for the staff a burden of this task due to the amount of restrictions and conditions that exist properly involved from the institution. Based on this problem and considering that common algorithms do not offer an optimal solution in this situation, it is necessary to resort to artificial intelligence techniques because they offer methods and algorithms that reduce the time and resources needed to generate an optimal program. This document details different artificial intelligence techniques used for the allocation of schedules, in order to find the technique that best suits the needs of the institution under study Universidad Francisco de Paula Santander, Ocaña located in Colombia, and which will be implemented more forward as a possible solution for the allocation of academic schedules in the institution.