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. (Solution files).

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, R. Qu and G. Vanden Berghe. A Time Predefined Variable Depth Search for Nurse Rostering. INFORMS Journal on Computing, Accepted for publication 2012.
• 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.

Conference papers

• Conniss R., T. Curtois, S. Petrovic and E.K. Burke. Rostering RAF Air Traffic Control Personnel. Practice and Theory of Automated Timetabling (PATAT 2012). 2012. 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 Conputer 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 Conputer 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.