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This project is a case study implementing the methods from the Julia InferOpt Framework

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miTTimmiTTim/SS23_CO_layer_seminar

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SS23_CO_layer_seminar

This project is a case study for the seminar paper "An introduction to probabilistic CO layer in hybrid pipelines" implementing the methods from the Julia InferOpt.jl package.

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data_prep.ipynb creates the input data used for the pipelines. The pipelines are built based on the different layers from InferOpt.jl and evaluated using a TSP with pick-up and delivery. analysis.ipynb consolidates the results and creates graphs for the seminar Paper.

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This project is a case study implementing the methods from the Julia InferOpt Framework

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