Most of the code in this repo is taken from https://github.com/Opt-Mucca/Adaptive-Cutsel-MILP but has been modified to our environment.
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The csv with all gaps, solution times and statuses for all the methods can be found "FINAL_GAP_RESULTS.csv"
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Experiments regarding SMAC methods can be found in "smac_opt.py" which we implemented ourselves
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Experiments regarding grid search can be found in "parameter_sweep.py"
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Experiments regarding recreating results from ACS can be found in "run_default.py" and "run_CSV.py"
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All data processing and experimental analysis are in the ipynb files