Abstract
Unary resources play a central role in modelling scheduling problems. Edge-finding is one of the most popular techniques to deal with unary resources in constraint programming environments. Often it depends on external factors if an activity will be included in the final schedule, making the activity optional. Currently known edge-finding algorithms cannot take optional activities into account. This paper introduces an edge-finding algorithm that finds restrictions for enabled and optional activities. The performance of this new algorithm is studied for modified job-shop and random-placement problems.
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Kuhnert, S. (2009). Efficient Edge-Finding on Unary Resources with Optional Activities. In: Seipel, D., Hanus, M., Wolf, A. (eds) Applications of Declarative Programming and Knowledge Management. INAP WLP 2007 2007. Lecture Notes in Computer Science(), vol 5437. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00675-3_3
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DOI: https://doi.org/10.1007/978-3-642-00675-3_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-00674-6
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