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检索条件"主题词=Machine learning for optimization"
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Data-driven prediction of relevant scenarios for robust combinatorial optimization
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COMPUTERS & OPERATIONS RESEARCH 2025年 174卷
作者: Goerigk, Marc Kurtz, Jannis Univ Passau Business Decis & Data Sci Dr Hans Kapfinger Str 30 D-94032 Passau Germany Univ Amsterdam Amsterdam Business Sch Plantage Muidergracht 12 NL-1018 TV Amsterdam Netherlands
We study iterative constraint and variable generation methods for (two-stage) robust combinatorial optimization problems with discrete uncertainty. The goal of this work is to find a set of starting scenarios that pro... 详细信息
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Teaching Networks to Solve optimization Problems
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IEEE ACCESS 2024年 12卷 17102-17113页
作者: Liu, Xinran Lu, Yuzhe Abbasi, Ali Li, Meiyi Mohammadi, Javad Kolouri, Soheil Vanderbilt Univ Dept Comp Sci Nashville TN 37235 USA Univ Texas Austin Dept Civil Architectural & Environm Engn Austin TX 78712 USA
Leveraging machine learning to facilitate the optimization process is an emerging field that holds the promise to bypass the fundamental computational bottleneck caused by classic iterative solvers in critical applica... 详细信息
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