Computer Science

Tim Curtois

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

Email: tim.curtois@nottingham.ac.uk

Research Interests
Healthcare planning and optimisation, staff scheduling, vehicle routing problem

Research

I am a research fellow in the ASAP group in the department of Computer Science at the University of Nottingham.

Links

- Staff Roster Solutions (university spin-out company)
- Benchmark employee scheduling problems

Publications

Journal articles

  • Asta S., E. Ozcan and T Curtois. A Tensor Based Hyper-heuristic for Nurse Rostering. Knowledge-Based Systems, 2016. 98: p. 185-199.
  • van Veldhoven S., G. Post, E. van der Veen and T. Curtois. An assessment of a days off decomposition approach to personnel shift scheduling. Annals of Operations Research, 2016. 239(1): p. 207-223.
  • Burke E.K. and T. Curtois. New Approaches to Nurse Rostering Benchmark Instances. European Journal of Operational Research, 2014. 237(1): p. 71-81. pdf.
  • Burke E.K., T. Curtois, R. Qu and G. Vanden Berghe. A Time Predefined Variable Depth Search for Nurse Rostering. INFORMS Journal on Computing, 2013. 25(3): p. 411-419.
  • Li J., E.K. Burke, T. Curtois, S. Petrovic, R. Qu. The falling tide algorithm: A new multi-objective approach for complex workforce scheduling. Omega: The International Journal of Management Science, 2012. 40(3): p. 283-293.
  • 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, 2011. 62: p. 360-367.
  • Burke E.K., T. Curtois, R. Qu and G. Vanden Berghe. 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.

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.

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. (Solution files).

Conference papers

  • Curtois T., W. Laesanklang, D. Landa-Silva, M. Mesgarpour and Y. Qu. Towards Collaborative Optimisation in a Shared-logistics Environment for Pickup and Delivery Operations. International Conference on Operations Research and Enterprise Systems (ICORES 2017). 2017.
  • Petrovic, S., J. Parkin and T. Curtois. Enhancement of employee timetabling with well-being measures. Proceedings of the Fifth World Conference on Production and Operations Management (2016).
  • Conniss, R., T. Curtois, S. Petrovic and E.K. Burke. Scheduling Air Traffic Controllers. Proceedings of the 10th International Conference on the Practice and Theory of Automated Timetabling (PATAT 2014), York, UK, August 26-29.
  • Conniss R., T. Curtois, S. Petrovic and E.K. Burke. Rostering RAF Air Traffic Control Personnel. Proceedings of the 9th International Conference on the Practice and theory of automated Timetabling (PATAT 2012), Son, Norway, August 28-31. p. 355-359.
  • Ochoa G., J. Walker, M. Hyde, and T. Curtois. Adaptive Evolutionary Algorithms and Extensions to the HyFlex Hyper-heuristic Framework. Parallel Problem Solving from Nature (PPSN 2012), Lecture Notes in Computer Science. 2012. Springer. p. 418-427.
  • Ochoa G., M. Hyde, T. Curtois, J.A. Vazquez-Rodriguez, J. Walker, M. Gendreau, G. Kendall, B. McCollum, A.J. Parkes, S. Petrovic and E.K. Burke. HyFlex: A Benchmark Framework for Cross-Domain Heuristic Search. European Conference on Evolutionary Computation in Combinatorial Optimization (EvoCOP 2012), Lecture Notes in Computer Science, Vol. 7245. 2012. Springer. p. 136-147.
  • 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.
  • 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.