A Machine Learning Approach to Algorithm Selection for Exact Computation of Treewidth
We present an algorithm selection framework based on machine learning for the exact computation of <i>treewidth</i>, an intensively studied graph parameter that is NP-hard to compute. Specifically, we analyse the comparative performance of three state-of-the-art exact treewidth algorithm...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2019-09-01
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| Series: | Algorithms |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1999-4893/12/10/200 |