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πŸš‚ Benchmark instances and encoding for the paper "Train Scheduling With Hybrid Answer Set Programming"

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Train scheduling with clingoDL: Benchmarks

REQUIREMENTS

If you are using conda, you can install all required packages into a new environment:

  • create and activate a new conda environment
  • conda install -c potassco clingo-dl
  • conda install -c conda-forge thriftpy2
  • conda install -c conda-forge openjdk
  • pip install -r requirements.txt

CONTENT

USAGE

solve_and_check instance.json <config> <time limit> <max delay>

  • instance.json: json instance
  • config: Configuration of clingo-dl (optional)
  • time limit: Time limit for clingo-dl (optional)
  • max delay: Maximum delay that is allowed for each train at a node (optional)

Example call: ./solve_and_check.sh instances/p3.json

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πŸš‚ Benchmark instances and encoding for the paper "Train Scheduling With Hybrid Answer Set Programming"

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