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Titlebook: Operations Research Proceedings 2014; Selected Papers of t Marco Lübbecke,Arie Koster,Grit Walther Conference proceedings 2016 Springer Int

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楼主: 航天飞机
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Operations Research Proceedings 2014978-3-319-28697-6Series ISSN 0721-5924 Series E-ISSN 2197-9294
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An Approximation Result for Matchings in Partitioned Hypergraphs,We investigate the matching and perfect matching polytopes of hypergraphs having a special structure, which we call partitioned hypergraphs. We show that the integrality gap of the standard LP-relaxation is at most . for partitioned hypergraphs with parts of size .. Furthermore, we show that this bound cannot be improved to ..
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Experimental Validation of an Enhanced System Synthesis Approach,First, the engineer designs the layout of the system, with the help of his experience or of heuristic methods. Secondly, he finds a control strategy which is often optimized by simulation. This usually results in a good operating of an unquestioned system topology. In contrast, we apply Operations R
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Stochastic Dynamic Programming Solution of a Risk-Adjusted Disaster Preparedness and Relief Distribommodities in the aftermath of an earthquake. Furthermore, the models consider the risk of exceeding the budget levels at any stage through chance constraints, which are then converted to Conditional Value-at-Risk constraints. Compared to the previous papers, our framework provides the flexibility o
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Solution Approaches for the Double-Row Equidistant Facility Layout Problem,much smaller compared to the general double-row layout problem. We exploit this fact to tailor exact integer linear programming (ILP) and semidefinite programming (SDP) approaches that outperform other recent methods for this problem. We report computational results on a variety of benchmark instanc
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On Class Imbalance Correction for Classification Algorithms in Credit Scoring,many new algorithms have been proposed in the recent past to mitigate this specific problem, the aspect of class imbalance is still underrepresented in research despite its great relevance for many business applications. Within the “Machine Learning in R” (mlr) framework methods for imbalance correc
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The Exact Solution of Multi-period Portfolio Choice Problem with Exponential Utility,ssumed that the asset returns depend on predictable variables and that the joint random process of the asset returns follows a vector autoregression. We prove that the optimal portfolio weights depend on the covariance matrices of the next two periods and the conditional mean vector of the next peri
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On the Discriminative Power of Tournament Solutions,es. Recent analytical results have shown that several concepts with appealing axiomatic properties tend to not discriminate at all when the tournaments are chosen from the uniform distribution. This is in sharp contrast to empirical studies which have found that real-world preference profiles often
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