Using Differential Evolution to Identify Fuzzy Measures for the Exam Timetabling Problem. In proceedings of the 5th Multidisciplinary International Conference on Scheduling : Theory and Applications (MISTA 2011), 9-11 August 2011, Phoenix, Arizona, USA, pages 335-351, 2011.
Paper
In this work, we use the Differential Evolution algorithm to identify fuzzy measures for the Exam Timetabling Problem. For that purpose, we used some of previous results that can be found in the literature to help model the problem. We also described how to combine the Differential Evolution algorithm with the construction algorithm to tune the fuzzy measures. This method is tested on some benchmark tests. Moreover, it was shown that it can effectively improve some of the previous results based on the same construction heuristic. Furthermore, it also obtained some of the best results in the literature when compared with the best construction heuristics or construction hyper-heuristics found in the literature.
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@INPROCEEDINGS{2011-335-351-P, author = {E. K. Burke and T. C. Pais},
title = {Using Differential Evolution to Identify Fuzzy Measures for the Exam Timetabling Problem},
booktitle = {In proceedings of the 5th Multidisciplinary International Conference on Scheduling : Theory and Applications (MISTA 2011), 9-11 August 2011, Phoenix, Arizona, USA},
year = {2011},
editor = {J. Fowler and G. Kendall and B. McCollum},
pages = {335--351},
note = {Paper},
abstract = {In this work, we use the Differential Evolution algorithm to identify fuzzy measures for the Exam Timetabling Problem. For that purpose, we used some of previous results that can be found in the literature to help model the problem. We also described how to combine the Differential Evolution algorithm with the construction algorithm to tune the fuzzy measures. This method is tested on some benchmark tests. Moreover, it was shown that it can effectively improve some of the previous results based on the same construction heuristic. Furthermore, it also obtained some of the best results in the literature when compared with the best construction heuristics or construction hyper-heuristics found in the literature.},
owner = {gxk},
timestamp = {2011.08.15},
webpdf = {2011-335-351-P.pdf} }