Please use this identifier to cite or link to this item: http://repositorio.ufpso.edu.co/jspui/handle/123456789/3390
Title: Optimization of the allocation of academic schedules through artificial intelligence techniques
Authors: Velásquez, A M
Velásquez Pérez, T
Puentes, A M
Keywords: Optimization, schedules, artificial
Issue Date: 1-Nov-2019
Publisher: Ely Dannier
Citation: Velasquez, A & Pérez, Torcoroma & Puentes, A. (2019). Optimization of the allocation of academic schedules through artificial intelligence techniques. Journal of Physics: Conference Series. 1403. 012019. 10.1088/1742-6596/1403/1/012019.
Series/Report no.: GITYD;ART 55
Abstract: 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.
URI: http://repositorio.ufpso.edu.co/jspui/handle/123456789/3390
ISSN: ISSN:1742-6596
Appears in Collections:Artículos

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