Projects
The optimization of public bus transport through Robust Line Planning KU Leuven
In this research, we will focus on the robustness of public bus services. The idea is to incorporate robustness in the design phase of a public bus service network. This means we optimise the travel time for users in practice. This differs from the usual approach since we accept that small delays and disturbances happen and take them into account when doing our line planning. Creating a bus service contains four steps: determining the demand, ...
The modelling, algorithmic design and optimization of robustness in personnel scheduling Ghent University
The project aims to develop exact and meta-Â heuristic optimization techniques that incorporate
uncertainty (i.e. operational variability in supply and demand) upfront in the construction of personnel rosters. In this way, we integrate the tactical personnel scheduling phase with the operational phase in order to construct robust personnel rosters.
Robust inference techniques based on resampling KU Leuven
Linear regression is the most famous type of regression analysis in statistics. A statistical analysis of a linear regression model usually begins with estimation of the regression coefficients and continues with measuring the accuracy of the estimators. Unfortunately, it is well known that a traditional statistical analysis based on the least squares principle is very sensitive to outliers in the data. Although many robust estimators have ...
Robust resource constrained project scheduling: Integer programming approaches KU Leuven
Robust and efficient legged robot locomotion and manipulation KU Leuven
Highly efficient and robust zero-carbon emission engines using directly-injected, spark-ignited hydrogen KU Leuven
Adaptive robust control of general anesthesia with event-based surgery mapping and variable patient models Ghent University
In this project, innovative concepts of fractional order control, combined with event-triggered supervisory control loops are designed and tested on a full anesthesia-hemodynamic patient simulator. Added features to allow such validation and demonstrator tools are necessary to be implemented in the existing patient simulator: i.e. patient models variability, blood loss effects in time constant and steady-state values, disturbance profiles ...