ASAP Group


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 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.
  • 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 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.

News

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Daniel Karapetyan and co-authors won the best paper award at the ACM Symposium on Access Control Models and Technologies (SACMAT) for their work on Valued Workflow Satisfiability Problem.
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Per Kristian Lehre gave a tutorial on Runtime Analysis of Population-based Evolutionary Algorithms at the 2015 IEEE Congress on Evolutionary Computation in Sendai, Japan on May 25th 2015.

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ASAP group members along with ADAC analysts were invited to hand in the prizes in the Driver of the Year Awards Ceremony, held at the biggest Transport Conference in the UK, organised by Microlise. See the full story: Generating Impact on Transport Industry through Big Data Analytics

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Wasakorn Laesanklang wins the Best Student Paper Award at the 4th International Conference on Operations Research and Enterprise Systems (ICORES 2015) for the paper "Mixed Integer Programming with Decomposition to Solve a Workforce Scheduling and Routing Problem." co-authored with Dario Landa-Silva and J. Arturo Castillo-Salazar./p>

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Transport Management Systems provider Microlise, along with partner the University of Nottingham, has been awarded funding of £359,000 from the UK’s innovation agency, the Technology Strategy Board (TSB).
The University of Nottingham will provide the extensive skills available through its' Automated Scheduling and Optimisation (ASAP), Advanced Data Analysis Centre (ADAC) and Nottingham Transportation Engineering Centre (NTEC) teams.