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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.

  • The csv with all gaps, solution times and statuses for all the methods can be found "FINAL_GAP_RESULTS.csv"

  • Experiments regarding SMAC methods can be found in "smac_opt.py" which we implemented ourselves

  • Experiments regarding grid search can be found in "parameter_sweep.py"

  • Experiments regarding recreating results from ACS can be found in "run_default.py" and "run_CSV.py"

  • All data processing and experimental analysis are in the ipynb files

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