Code
01SC4517
Duration
01 March 2017 → 30 June 2021
Funding
Regional and community funding: Special Research Fund
Promotor
Fellow
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
Keywords
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.