Hybrid Prediction + Optimisation KU Leuven
Industry and society are increasingly automating processes, which requires solving constrained optimisation problems. This
includes scheduling of tasks in electricity demand-response programs, vehicle routing problems in transportation, job sequencing
in manufacturing, rostering of personnel and more. However, the solutions found by state-of-the-art constraint programming
solvers are often found to not match user expectations. ...