Tested on Ubuntu 20.04.2 LTS, gcc version 9.3.0, Python 3.8.5 To setup the datasets - Download raw data (data/raw/setup.sh) - Download uber dataset from https://www.kaggle.com/fivethirtyeight/uber-pickups-in-new-york-city) and extract in data/raw To generate the instances: - Run data/generate_instances.sh To compile the executable: - Run make all To run the experiments: - python3 run_all_synth.py -offline -online -m PROC_NUM - python3 run_all_day.py -offline -m PROC_NUM - python3 run_all_day.py -online -m PROC_NUM The run logs are saved in logs/, with each line using the format: algo_name solution.cost solution.facility_cost solution.service_cost solution.opened_facilities solution.elapsed_ms