By Marco Lübbecke, Arie M.C.A. Koster, Peter Letmathe, Reinhard Madlener, Britta Peis, Grit Walther
This publication incorporates a collection of refereed papers provided on the "International convention on Operations learn (OR 2014)", which happened at RWTH Aachen collage, Germany, September 2-5, 2014. greater than 800 scientists and scholars from forty seven international locations attended OR 2014 and provided greater than 500 papers in parallel topical streams, in addition to distinct award classes. The subject matter of the convention and its complaints is "Business Analytics and Optimization".
Read Online or Download Operations Research Proceedings 2014: Selected Papers of the Annual International Conference of the German Operations Research Society (GOR), RWTH Aachen University, Germany, September 2-5, 2014 PDF
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Additional info for Operations Research Proceedings 2014: Selected Papers of the Annual International Conference of the German Operations Research Society (GOR), RWTH Aachen University, Germany, September 2-5, 2014
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1 Objective Function The problem of simulating the energy system for natural gas and power is formulated as minimization of the total costs Ctot for natural gas and power supply in N market areas and for T time intervals under consideration of load coverage and technical constraints. The usual simulation period is one year in hourly time steps for the power system and daily time steps for the natural gas system. Simulation of the System-Wide Impact of Power-to-Gas Energy Storages … N 27 T min Ctot = Cgas,n,t + Cpower,n,t (1) n=1 t=1 The costs Cgas,n,t include costs for gas transport and supply whereas the costs Cpower,n,t compose costs for power generation C˙ i,stat and transport.
Com/c/GiveMeSomeCredit. 40 B. Bischl et al. 5 × I R, where I R is the class imbalance ratio. 67 × I R −1 and 1. For all set-ups (except the baseline) tuning is performed via iterated F-racing and a budget of 400 evaluations. During the inner resampling for tuning (in each racing step) we use 80 % of the observations for training and 20 % for testing. 90 Rate In comparison AUC of the same learner without tuning or imbalance correction (Base), with tuning of hyperparameters only (Tuning),—and class weights (Weights)—and the best sampling method (Sampling).
15(1), 20–29 (2006) 9. : The Hypergraph Assignment Problem. D. Thesis, TU Berlin (2014) On Class Imbalance Correction for Classification Algorithms in Credit Scoring Bernd Bischl, Tobias Kühn and Gero Szepannek Abstract Credit scoring is often modeled as a binary classification task where defaults rarely occur and the classes generally are highly unbalanced. Although 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.