Training OFF-LineHyperheuristics For Course Timetabling Using K-Folds Cross Validation
DOI:
https://doi.org/10.30973/progmat/2016.8.3/1Keywords:
HyperHeuristics, K-Folds Cross Validation, Course Timetabling, Iterated Local Search, Metaheuristics, HeuristicsAbstract
In the universities seeks a timetabling scheme that covers a set of restrictions from the students, teachers, curriculum and school spaces. The hyper heuristics allow us generate methodologies which solve a set of instances of a specific problem. In this paper we use k-Folds Cross Validation Leave-One-Out version has been applied to Course Timetabling problem, so this is the most important contribution of this work, because we need a support for training a hyper heuristic and we used the k-Folds cross validation which is commonly using in pattern recognition. We use iterated Local Search as High level heuristic Chooser, using the API-CARPIO methodology and were used set of instances from Institute Technology of Leon fortestthis hyper heuristic.
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Copyright (c) 2016 Lucero de Montserrat Ortiz Aguilar, Juan Martín Carpio Valadez, Jorge Alberto Soria Alcaraz, Héctor J. Puga Soberanes, Claudia Díaz, Carlos Lino Ramírez, Jesús Eduardo Aldape, Ofelia Alatorre, Antonio Aguila Reyes, Verónica Tapia
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