Analyzing the computational impact of MIQCP solver components

Analyzing the computational impact of MIQCP solver components
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分析 MIQCP 求解器组件的计算影响

DOI:
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发表时间:
2012
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通讯作者:
Stefan Vigerske
Stefan Vigerske
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作者:
Timo Berthold;Ambros M. Gleixner;Stefan Heinz;Stefan Vigerske

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我们提供了一项计算研究,以针对非convex混合企业的最先进求解器的性能 四次约束程序(MIQCP)。由于成功用于大型问题类的通用求解器 一定构成了各种算法技术,我们特别关注单个求解器的影响 成分。用于实验的求解器SCIP基于线性实现分支和切割算法 放松以将MIQCP求解为全球最优性。我们的分析基于一组86〜公开测试 实例。
We provide a computational study of the performance of a state-of-the-art solver for nonconvex mixed-integer quadratically constrained programs (MIQCPs). Since successful general-purpose solvers for large problem classes necessarily comprise a variety of algorithmic techniques, we focus especially on the impact of the individual solver components. The solver SCIP used for the experiments implements a branch-and-cut algorithm based on a linear relaxation to solve MIQCPs to global optimality. Our analysis is based on a set of 86~publicly available test instances.