Automated Scheduling Optimisation and Planning

The Automated Scheduling, Optimisation and Planning (ASAP) research group carries out multi-disciplinary research into mathematical models and algorithms for a variety of real-world optimisation problems.

One of the main strategic directions of the group is to close the gap between academic research and industrial practice by exploring and investigating the development of computational search methodologies which address the complexity and uncertainty that is inherent in large real-world problem solving environments.

Research applications

Our research is covering a variety of real-world applications including timetabling, cutting and packing, personnel rostering, sports scheduling, healthcare scheduling, aircraft scheduling, space allocation, production scheduling, portfolio optimisation, multicast network routing, game strategies, and transport logistics.