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BASBL: Branch-And-Sandwich BiLevel solver. Implementation and computational study with the BASBLib test set

机译:BASBL:分支与夹心BiLevel求解器。

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摘要

We describe BASBL, our implementation of the deterministic global optimization algorithm Branch-and-Sandwich for a general class of nonconvexonlinear bilevel problems, within the open-source MINOTAUR framework. The solver incorporates the original Branch-and-Sandwich algorithm and modifications proposed in (Paulavicius and Adjiman, J. Glob. Opt., 2019, Submitted). We also introduce BASBLib, an extensive online library of bilevel benchmark problems collected from the literature and designed to enable contributions from the bilevel optimization community. We use the problems in the current release of BASBLib to analyze the performance of BASBL using different algorithmic options and we identify a set of default options that provide good overall performance. Finally, we demonstrate the application of BASBL to a set of flexibility index problems including linear and nonlinear constraints. (C) 2019 Published by Elsevier Ltd.
机译:我们将在开源MINOTAUR框架中描述BASBL,这是确定性全局优化算法Branch-and-Sandwich的实现,用于一般类别的非凸/非线性双级问题。该求解器结合了原始的Branch-and-Sandwich算法和在(Paulavicius和Adjiman,J.Glob.Opt。,2019,已提交)中提出的修改。我们还将介绍BASBLib,这是一个广泛的在线文献库,该文献库收集了文献中的双水平基准问题,旨在使双水平优化社区做出贡献。我们使用当前版本的BASBLib中的问题,使用不同的算法选项来分析BASBL的性能,并确定一组可提供良好总体性能的默认选项。最后,我们演示了BASBL在一系列包括线性和非线性约束的柔性指标问题上的应用。 (C)2019由Elsevier Ltd.发布

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