Summary of Proceedings Of the 2024 Xcsp3 Competition, by Gilles Audemard et al.
Proceedings of the 2024 XCSP3 Competition
by Gilles Audemard, Christophe Lecoutre, Emmanuel Lonca
First submitted to arxiv on: 28 Nov 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The 2024 XCSP3 Competition, a benchmarking event for constraint solvers, was held as part of the CP’24 conference. The competition featured submissions from various constraint solver implementations, which were evaluated based on their performance in solving problems from diverse domains, including AI and machine learning. The paper presents the results of this competition, highlighting the strengths and weaknesses of each participating solver. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The 2024 XCSP3 Competition is a benchmarking event for constraint solvers that took place during the CP’24 conference. This competition helps developers improve their algorithms by providing a platform to test their constraint solving abilities. The results are important because they show which solvers perform well in different problem domains, including AI and machine learning. |
Keywords
» Artificial intelligence » Machine learning
