Abstract
In many randomly generated instances for Udine timetabling very different solvers achieved the same objective value (with different solutions). This paper summarises observations concerning the structure of the instances and their consequences for effective test instance generation and reporting of computational results in Udine Timetabling problems.
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Lopes, L., Smith-Miles, K. (2010). Pitfalls in Instance Generation for Udine Timetabling. In: Blum, C., Battiti, R. (eds) Learning and Intelligent Optimization. LION 2010. Lecture Notes in Computer Science, vol 6073. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13800-3_31
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DOI: https://doi.org/10.1007/978-3-642-13800-3_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13799-0
Online ISBN: 978-3-642-13800-3
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