Automated Scheduling, Optimisation and Planning

Overview 

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:

• Modelling the complexity and uncertainty inherent in complex,
  real-world problems across a wide range of application areas
• 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
• Developing rigorous mathematical theories for a more profound
  understanding of randomised search heuristics, such as simulated annealing, evolutionary algorithms, etc

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.