Computer Science

Tim Curtois

ASAP

Timothy Curtois
ASAP, School of Computer Science
University of Nottingham
Jubilee Campus, Wollaton Road
Nottingham, NG8 1BB, UK

Tel: 0115 84 66521
Email: tim.curtois@nottingham.ac.uk

Research Interests
Healthcare planning and optimisation, staff rostering, surgery scheduling, metaheuristics, hyperheuristics.

Research

I am a research fellow in the ASAP group in the department of Computer Science at the University of Nottingham. I am currently working on the project: Next Generation Decision Support: Automating the heuristic design process.

Links

- Staff Roster Solutions (university spin-out company)
- Benchmark employee scheduling problems
- CHeSC 2011: Cross-domain Heuristic Search Competition
- WATT employee timetabling page

Publications

Technical reports

  • Burke, E.K. and T. Curtois. New computational results for nurse rostering benchmark instances. Technical Report, 2011. pdf.
  • Burke, E.K. and T. Curtois. An ejection chain method and a branch and price algorithm applied to the instances of the first international nurse rostering competition, 2010. Technical Report, 2010. pdf.

Book chapters

  • Burke, E.K., T. Curtois, T.E. Nordlander, and A. Riise. Scheduling and Sequencing, in Handbook of Healthcare Delivery Systems, Y. Yih, Editor. 2010. CRC Press.

Journal articles

  • Burke, E.K., T. Curtois, L. Fijn van Draat, J.-K. van Ommeren, and G. Post. Progress Control in Iterated Local Search for Nurse Rostering. Journal of the Operational Research Society, Accepted for publication 2010.
  • Burke E.K., T. Curtois, R. Qu and G. Vanden Berge. A Scatter Search Methodology for the Nurse Rostering Problem. Journal of the Operational Research Society, 2010. 61: p. 1667-1679.
  • Brucker, P., E.K. Burke, T. Curtois, R. Qu, and G. Vanden Berghe. A Shift Sequence Based Approach for Nurse Scheduling and a New Benchmark Dataset. Journal of Heuristics, 2009. 16(4): p. 559-573.
  • Burke E.K., T. Curtois, G. Post, R. Qu and B. Veltman. A Hybrid Heuristic Ordering and Variable Neighbourhood Search for the Nurse Rostering Problem. European Journal of Operational Research, 2008. 188(2): p. 330-341.

Conference papers

  • Burke, E.K., T. Curtois, M. Hyde, G. Kendall, G. Ochoa, S. Petrovic, J.A. Vazquez-Rodriguez, and M. Gendreau. Iterated Local Search vs. Hyper-heuristics: Towards General-purpose Search Algorithms. IEEE Congress on Evolutionary Computation (CEC 2010). 2010. IEEE Press. p. 3073-3080.
  • Burke, E.K., T. Curtois, M. Hyde, G. Kendall, G. Ochoa, S. Petrovic, and J.A. Vazquez-Rodriguez. HyFlex: A Flexible Framework for the Design and Analysis of Hyper-heuristics. Multidisciplinary International Scheduling Conference (MISTA 2009). 2009. Dublin, Ireland.
  • Burke, E.K., T. Curtois, M. Hyde, G. Kendall, G. Ochoa, S. Petrovic, and J.A. Vazquez-Rodriguez. Towards the Decathlon Challenge of Search Heuristics. Genetic and Evolutionary Computation Conference (GECCO-2009) - Workshop on Automated Heuristic Design. 2009. Montreal, Canada.