@article {10.3844/jcssp.2020.660.670,
article_type = {journal},
title = {Exploring a Flexible Scoring Scheme for a Heuristic Search Technique: A Case Study of University Timetables},
author = {Vasupongayya, Sangsuree and Sitthirit, Warakorn and Sae-Wong, Suthon and Kaosol, Thaniya},
volume = {16},
number = {5},
year = {2020},
month = {Jun},
pages = {660-670},
doi = {10.3844/jcssp.2020.660.670},
url = {https://thescipub.com/abstract/jcssp.2020.660.670},
abstract = {The university course timetabling management system is proposed in this work. The proposed system applies depth-bounded discrepancy search together with the heuristic and the hard-soft constraints to guide the search to a good solution space. To make the proposed system easy to use by a non-technical user, this work explores a scoring scheme including the effects of the ordering heuristics, the effects of the objective model and the effects of the workload characteristics in order to pre-define a set of configurations and to automatically adapt to the changes in the workload. The experimental results show that the proposed system can find a suitable solution for various workloads. The feedback from the potential users on the proposed system is positive.},
journal = {Journal of Computer Science},
publisher = {Science Publications}
}