A genetic approach to statistical disclosure control

Smith, Jim; Clark, Alistair; Staggemeier, Andrea T.; Serpell, Martin

doi:10.1109/TEVC.2011.2159271

All Outputs (5)

A comparison of evolutionary algorithms and ant colony optimization for interactive software design (2012)
Presentation / Conference
Simons, C., & Smith, J. (2012, September). A comparison of evolutionary algorithms and ant colony optimization for interactive software design. Paper presented at 4th Symposium on Search Based-Software Engineering, Riva del Garda, Trento, Italy

Estimating meme fitness in adaptive memetic algorithms for combinatorial problems (2012)
Journal Article
Smith, J. (2012). Estimating meme fitness in adaptive memetic algorithms for combinatorial problems. Evolutionary Computation, 20(2), 165-188. https://doi.org/10.1162/EVCO_a_00060

Among the most promising and active research areas in heuristic optimisation is the field of adaptive memetic algorithms (AMAs). These gain much of their reported robustness by adapting the probability with which each of a set of local improvement op... Read More about Estimating meme fitness in adaptive memetic algorithms for combinatorial problems.

Self-adaptative and coevolving memetic algorithms (2012)
Book Chapter
Smith, J. (2012). Self-adaptative and coevolving memetic algorithms. In F. Neri, C. Cotta, & P. Moscato (Eds.), Handbook of Memetic Algorithms (167-188). Springer

Making early predictions of the accuracy of machine learning classifiers (2012)
Book Chapter
Smith, J., Tahir, M., Sannen, D., & Van Brussel, H. (2012). Making early predictions of the accuracy of machine learning classifiers. In M. Sayed-Mouchaweh, & E. Lughofer (Eds.), Learning in Non-Stationary Environments (125-151). Springer

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.