主催: The Japanese Society for Artificial intelligence
会議名: 第97回 人工知能基本問題研究会
回次: 97
開催地: 別府国際コンベンションセンター
開催日: 2014/03/22 - 2014/03/23
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SATzilla2012, an automated approach for constructing per-instance algorithm portfolios for SAT that utilizes cost-sensitive classification models to choose among their constituent solvers, has achieved an excellent performance in SAT Challenge 2012. In this paper, we present the parallel portfolio SATzilla2012 (PPSz2012), which parallelizes the phases of the sequential portfolio SATzilla2012 (SPSz2012), based on assigning and running corresponding processes to the component solvers that were predicted their performances by decision forest (DF) and received the top two highest votes.