Comparison of Bioinspired Algorithms Applied to the Timetabling Problem
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Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-15-7907-3_32
Reference32 articles.
1. Jorge AS, Martin CJ, Hugo T (2010) Academic timetabling design using hyper—heuristics. Springer, Berlin, pp 43–56. https://doi.org/10.1007/978-3-642-15534-53
2. Asratian AS, de Werra D (2002) A generalized class–teacher model for some timetabling problems. University of Technology, Department of Engineering Sciences and Mathematics, Mathematical Science, & Mathematics. Eur J Oper Res 531–542. https://doi.org/10.1016/S0377-2217(01)00342-3 .
3. Soria-Alcaraz Jorge A, Martín C, Héctor P, Sotelo-Figueroa MA 2013) Comparison of metaheuristic algorithms with a methodology of design for the evaluation of hard constraints over the course timetabling problem. Springer, Berlin, pp 289–302. https://doi.org/10.1007/978-3-642-33021-6_23
4. Viloria A, Lis-Gutiérrez JP, Gaitán-Angulo M, Godoy ARM, Moreno GC, Kamatkar SJ (2018) Methodology for the design of a student pattern recognition tool to facilitate the teaching—learning process through knowledge data discovery (big data). In: Tan Y, Shi Y, Tang Q (eds) Data mining and big data. DMBD 2018. Lecture notes in computer science, vol 10943. Springer, Cham
5. De Werra D (1985) An introduction to timetabling. Eur J Oper Res 19(2):151–162
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