Summary of Better Understandings and Configurations in Maxsat Local Search Solvers Via Anytime Performance Analysis, by Furong Ye et al.
Better Understandings and Configurations in MaxSAT Local Search Solvers via Anytime Performance Analysis
by Furong Ye, Chuan Luo, Shaowei Cai
First submitted to arxiv on: 11 Mar 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 This paper explores the evaluation of MaxSAT stochastic local search solvers’ anytime performance across multiple problem instances and various time budgets. Unlike previous assessments that focused solely on the quality of the best-found solutions, this study uses Empirical Cumulative Distribution Functions to compare solver behavior along the convergence process. The results reveal distinct performance differences among solvers at different running times, demonstrating the importance of considering solver performance over time rather than just focusing on final solution quality. Additionally, the paper shows that using the anytime performance as a cost function can guide hyperparameter optimization tools like SMAC to discover better parameter settings for solvers. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This research helps us understand how different computer programs work when solving complex math problems called MaxSAT. Usually, we just look at which solution is best and forget about how the program got there. But this study shows that it’s important to see how the program does throughout its whole process, not just the end result. The results show that each program has its own strengths and weaknesses depending on how much time it takes. This information can help us make better choices when using these programs in the future. |
Keywords
» Artificial intelligence » Hyperparameter » Optimization
