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Title: Integrating matheuristics and metaheuristics for timetabling.
Authors: Fonseca, George Henrique Godim da
Santos, Haroldo Gambini
Carrano, Eduardo Gontijo
Keywords: Matheuristics
Issue Date: 2016
Citation: FONSECA, G. H. G. da; SANTOS, H. G.; CARRANO, E. G. Integrating matheuristics and metaheuristics for timetabling. Computers & Operations Research, v. 1, p. 1-28, 2016. Disponível em: <>. Acesso em: 07 ago. 2016.
Abstract: The High School Timetabling Problem requires the assignment of times and resources to events, while sets of required and desirable constraints must be considered. The most common approach for this problem is to employ metaheuristic methods. This work presents a matheuristic approach that combines a Variable Neighbourhood Search algorithm with mathematical programming-based neighbourhoods for high school timetabling. Computational experiments on well-known benchmark instances demonstrate the success of the proposed hybrid approach, which outperforms the standalone Variable Neighbour- hood Search algorithm by far. Additionally, the proposed algorithm was able to improve 15 out of 17 current best known solutions in a very famous benchmark set.
ISSN: 0305-0548
metadata.dc.rights.license: O periódico Computers & Operations Research concede permissão para depósito deste artigo no Repositório Institucional da UFOP. Número da licença: 3926560954953.
Appears in Collections:DECOM - Artigos publicados em periódicos

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