Sport scheduling: new insights in algorithmic performance

01 January 2016 → 31 August 2021
Regional and community funding: Special Research Fund
Research disciplines
  • Natural sciences
    • Analysis of algorithms and complexity
  • Social sciences
    • Mathematical methods, programming models, mathematical and simulation modelling
  • Medical and health sciences
    • Sports sciences
optimization standards algorithms benchmark system classification amateur leagues sport scheduling
Project description

Scheduling sports competitions is an extremely complex optimization problem where various wishes need to be taken into account. This proposal creates a benchmarking system which allows to compare the performance of various algorithms. Our system will show which approach works best for which type of sport scheduling problem. We also develop new algorithms for sport scheduling problems in amateur competitions.