Sport scheduling under uncertainty

01 March 2017 → 30 June 2021
Regional and community funding: Special Research Fund
Research disciplines
  • Natural sciences
    • Applied mathematics in specific fields
    • Statistics and numerical methods
    • Computer architecture and networks
    • Distributed computing
    • Information sciences
    • Information systems
    • Programming languages
    • Scientific computing
    • Theoretical computer science
    • Visual computing
    • Other information and computing sciences
uncertainty sport scheduling optimization proactive/reactive approaches stochastic programming robust optimization performance evaluation
Project description

Scheduling sport competitions is a complex optimization problem where various wishes need to be satisfied. However, the resulting schedule is rarely played as planned due to unforeseen circumstances (e.g. bad weather). This proposal abandons the traditional assumption of deterministic problem parameters. We empirically study the impact of uncertainty on sport schedules and develop methods that are robust to changing environments.