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
- timetabling.
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
- transportation
- hospital timetabling
- resource allocation and scheduling for cloud computing
- logistic and supply chain scheduling.
Related research groups
Evolutionary computation and machine learning
We focus on topics such as genetic programming, learning classifier systems, particle swarm optimisation, evolutionary computer vision, and image analysis.
AI-SCC group
The Artificial intelligence—service and cloud computing group conducts research in areas related to service and cloud computing and develops AI methods to solve related problems.