Scheduling and combinational optimisation
Scheduling and combinatorial optimisation is an important area in modern and high-value manufacturing, logistics, and supply chain management.
We have been carrying out research in the following areas:
- job-shop scheduling
- vehicle and arc routing
- web service composition
- resource allocation
Solving dynamic problems in uncertain environments
This group is particularly interested in hyper-heuristic approaches and solving dynamic problems under uncertain environments. Our work looks at solving problems in:
- waste collection
- mobile manufacturing
- hospital timetabling
- resource allocation and scheduling for cloud computing
- logistic and supply chain scheduling.