infarct 发表于 2025-3-23 10:55:33
rly performing configurations. To this end, we propose a gray-box approach that utilizes intermediate output during evaluation and implement it within the RAC method CPPL. We apply cost sensitive machine learning with pairwise comparisons to determine whether ongoing evaluations can be terminated to符合国情 发表于 2025-3-23 16:29:00
ts were compared with six well-known FS algorithms (namely, the BPSO, BMVO, BGWO, BMFO, BWOA, and BBAT algorithms). The test results show that the BBWO is as good as, or even better in some cases than the FS algorithms compared against. The obtained results can be used as new a benchmark and provide和平主义 发表于 2025-3-23 19:16:48
http://reply.papertrans.cn/63/6201/620041/620041_13.png蜡烛 发表于 2025-3-24 01:41:44
set of instances for use as proxies during solver development, and introduce a new metric, .-score, to quantify this. We apply our approach on several artificially generated and real-world benchmark sets and quantitatively compare their usefulness for developing competitive SAT solvers.Bombast 发表于 2025-3-24 03:36:49
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http://reply.papertrans.cn/63/6201/620041/620041_16.pngoffense 发表于 2025-3-24 14:07:57
. We also generate a portfolio of parameter configurations using best-of-breed parameter tuning approaches directly for the comparison purpose. Experimental results show that our approach lead to improvements over best-of-breed parameter tuning approaches.precede 发表于 2025-3-24 16:04:11
. We also generate a portfolio of parameter configurations using best-of-breed parameter tuning approaches directly for the comparison purpose. Experimental results show that our approach lead to improvements over best-of-breed parameter tuning approaches.断言 发表于 2025-3-24 20:25:37
We then quantify the degree of similarity between two configurations as the transformation cost between the respective concept DAGs. In the context of analyzing . configurations, we demonstrate that visualizations based on transformation costs can provide useful insights into the similarities and diCpr951 发表于 2025-3-25 00:29:07
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