- The data sets used by Martin Serpell in his thesis may be found here.
- This folder contains the data sets used in the 2011 and 2016 GECCO papers.
- This folder contains the sets of 1000 sampled data points per test problem used to analyse the effect of different surrogate models in the GECCO 2017 paper.

If you would like a copy of any of these programmes please email Martin Serpell (martin 2 dot serpell at uwe dot ac dot uk) or Jim Smith ( james dot smith at uwe dot ac dot uk) as we wish to keep a record of who is using this program.

- J.E. Smith, M. Serpell and C. Stone. `Exploiting Diverse Distance Metrics for Surrogate-Based Optimisation of Ordering Problems`. To appear in proceedings of GECCO 2016, ACM Press.
- M.C. Serpell and J.E. Smith. Initial Application of Ant Colony Optimisation to Statistical Disclosure Control. In 15th Annual Genetic and Evolutionary Computation Conference, GECCO 2013, Proceedings, Amsterdam, The Netherlands, July 6-11, 2013, pp. 97–104, ACM, 2013.
- M.Serpell, J.E. Smith, A.Clark, and A. Staggemeier. A preprocessing optimization applied to the cell suppression problem in statistical disclosure control . Information Sciences , 238:22–32, 2013.
- J.E. Smith, A.R. Clark, A.T. Staggemeier, and M.C. Serpell. A Genetic Approach to Statistical Disclosure Control. IEEE Transactions on Evolutionary Computation, 16(3):431–441, 2012.
- M. Serpell, J.E. Smith, A.Clark, and A.T. Staggemeier. Scaling up a Hybrid Genetic/Linear Programming Algorithm for Statistical Disclosure Control. In 13th Annual Genetic and Evolutionary Computation Conference, GECCO 2011, Proceedings, Dublin, Ireland, July 12-16, 2011, pp. 1675–1682, ACM, 2011.
- J.E. Smith, A. Clark, and A. Staggemeier. A Genetic Approach to Statistical Disclosure Control. In Proceedings of Gecco, the ACM-SIGEVO conference on Evolutionary Computation, pp. 1625–1632, Springer, Berlin, Heidelberg, New York, July 2009.
- M Serpell, A.R. Clark, J.E. Smith, and A. Staggemeier. Pre-processing Optimisation applied to the Classical Integer Programming Model for Statistical Disclosure Control. In Proceedings of Privacy In Statistical Databases, Springer, Berlin, Heidelberg, New York, 2008.
- A.S. Staggemeier, A.R. Clark, J.E. Smith, and J. Thompson. Improving Our Knowledge of Metaheuristic Approaches for the Cell Suppression Problem. In Proceedings of Joint UNECE/Eurostat work session on statistical data confidentiality, December 2007.

If you would like copies of any of these papers please contact: Jim Smith ( james dot smith at uwe dot ac dot uk) or Martin Serpell ( martin 2 dot serpell at uwe dot ac dot uk)

Slides from Jim's GECCO 2016 presentation are here