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.

ASAP research work aims to set the following research directions on the international agenda:

1. Modelling the complexity and uncertainty inherent in complex, real-world problems across a wide range of application areas including airport optimization, cutting and packing, educational timetabling, healthcare, network routing, personnel scheduling, portfolio optimization, production scheduling/rescheduling, public transport optimization, space allocation, transportation logistics optimization and vehicle routing.

2. Developing intelligent systems that can automatically aid the design and implementation of more efficient, effective, reusable, easier-to-implement/deploy/use general computational search methods that are applicable to a range of real-world problems.

3. Developing rigorous mathematical theories for a more profound understanding of real world problems and effective design of intelligent decision support systems.

Our expertise in Computer Science and Operational Research allows us to bring a unique and novel perspective to traditional Operational Research problems, and also to bring new real-world problems to the Computer Science community.