A preprocessing optimization applied to the cell suppression problem in statistical disclosure control (2013)
Journal Article
Staggemeier, A., Serpell, M., Smith, J., Clark, A., & Staggemeier, A. T. (2013). A preprocessing optimization applied to the cell suppression problem in statistical disclosure control. Information Sciences, 238, 22-32. https://doi.org/10.1016/j.ins.2013.02.006

As organizations start to publish the data that they collect, either internally or externally, in the form of statistical tables they need to consider the protection of the confidential information held in those tables. The algorithms used to protect... Read More about A preprocessing optimization applied to the cell suppression problem in statistical disclosure control.

Initial application of ant colony optimisation to statistical disclosure control (2013)
Presentation / Conference
Serpell, M., & Smith, J. (2013, July). Initial application of ant colony optimisation to statistical disclosure control. Paper presented at Fifteenth annual conference on Genetic and evolutionary computation, Amsterdam

In this paper Ant Colony Optimisation (ACO) is applied in the field of Statistical Disclosure Control (SDC) for the first time. It has been applied to a permutation problem found in Cell Suppression. ACO has successfully improved the suppression patt... Read More about Initial application of ant colony optimisation to statistical disclosure control.

A genetic approach to statistical disclosure control (2012)
Journal Article
Smith, J., Clark, A., Staggemeier, A. T., & Serpell, M. (2012). A genetic approach to statistical disclosure control. IEEE Transactions on Evolutionary Computation, 16(3), 431-441. https://doi.org/10.1109/TEVC.2011.2159271

Statistical disclosure control is the collective name for a range of tools used by data providers such as government departments to protect the confidentiality of individuals or organizations. When the published tables contain magnitude data such as... Read More about A genetic approach to statistical disclosure control.

Scaling up a hybrid genetic linear programming algorithm for statistical disclosure control (2011)
Presentation / Conference
Serpell, M., Smith, J., Clark, A., & Staggemeier, A. T. (2011, July). Scaling up a hybrid genetic linear programming algorithm for statistical disclosure control. Paper presented at 13th annual conference on Genetic and evolutionary computation, Dublin, Ireland

Self-adaptation of mutation operator and probability for permutation representations in genetic algorithms (2010)
Journal Article
Serpell, M., & Smith, J. (2010). Self-adaptation of mutation operator and probability for permutation representations in genetic algorithms. Evolutionary Computation, 18(3), 491-514. https://doi.org/10.1162/EVCO_a_00006

The choice of mutation rate is a vital factor in the success of any genetic algorithm (GA), and for permutation representations this is compounded by the availability of several alternative mutation operators. It is now well understood that there is... Read More about Self-adaptation of mutation operator and probability for permutation representations in genetic algorithms.

A genetic approach to statistical disclosure control (2009)
Journal Article
Smith, J., Clark, A., & Staggemeier, A. T. (2009). A genetic approach to statistical disclosure control

Proposing a pre-processing optimisation applied to the classical integer programming model for statistical disclosure control (2008)
Presentation / Conference
Serpell, M., Clark, A., Smith, J., & Staggemeier, A. T. (2008, June). Proposing a pre-processing optimisation applied to the classical integer programming model for statistical disclosure control. Paper presented at PSD '08 Proceedings of the UNESCO Chair in data privacy international conference on Privacy in Statistical Databases

Pre-processing optimisation applied to the classical integer programming model for statistical disclosure control (2008)
Conference Proceeding
Staggemeier, A., Serpell, M., Clark, A., & Smith, J. (2008). Pre-processing optimisation applied to the classical integer programming model for statistical disclosure control. . https://doi.org/10.1007/978-3-540-87471-3_3

A pre-processing optimisation is proposed that can be applied to the integer and mixed integer linear programming models that are used to solve the cell suppression problem in statistical disclosure control. In this paper we report our initial findin... Read More about Pre-processing optimisation applied to the classical integer programming model for statistical disclosure control.

Improving our knowledge of metaheuristic approaches for cell suppression problem (2007)
Presentation / Conference
Staggemeier, A. T., Clark, A., Smith, J., & Thompson, J. (2007, December). Improving our knowledge of metaheuristic approaches for cell suppression problem. Paper presented at Proceedings of Joint UNECE/Eurostat work session on statistical data confidentiality, Manchester, UK

Genetic algorithm and linear programing to solve a lot-sizing and scheduling problem (2003)
Presentation / Conference
Staggemeier, A. T., Clark, A., Smith, J., & Bull, L. (2003, April). Genetic algorithm and linear programing to solve a lot-sizing and scheduling problem. Paper presented at Proceedings of the 6th Biannual Model and Algorithms to Production and Scheduling Problems 2003, Aussois, France