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Pedagogical Approach to Effective Cybersecurity Teaching (2019)
Book Chapter
Arabo, A., & Serpell, M. (in press). Pedagogical Approach to Effective Cybersecurity Teaching. In A. D. Cheok, W. Mueller, & Z. Pan (Eds.), Transactions on Edutainment XV, (129-140). Springer. https://doi.org/10.1007/978-3-662-59351-6_11

© 2019, Springer-Verlag GmbH Germany, part of Springer Nature. Initial research ruled out many factors that were thought may correlate to student academic performance. Finally, a strong correlation was found between their academic performance and the... Read More about Pedagogical Approach to Effective Cybersecurity Teaching.

Using a permutation representation genetic algorithm to implement a complex pick up/drop off mathematical model (2019)
Journal Article
Serpell, M. C., Choudry, S., & Burnham, P. (2019). Using a permutation representation genetic algorithm to implement a complex pick up/drop off mathematical model. Applied Soft Computing, 80, 810-819. https://doi.org/10.1016/j.asoc.2019.03.036

The Variable Message Sign Problem (VMSP) aims to optimise the delivery, collection and maintenance of Variable Message Signs. Firstly, the problem was formulated as a rigorous mathematical model. It was then reformulated using a permutation represent... Read More about Using a permutation representation genetic algorithm to implement a complex pick up/drop off mathematical model.

Incorporating data quality improvement into supply–use table balancing (2017)
Journal Article
Serpell, M. (2018). Incorporating data quality improvement into supply–use table balancing. Economic Systems Research, 30(2), 271-288. https://doi.org/10.1080/09535314.2017.1396962

© 2017 The International Input–Output Association. This paper investigates the benefits of using a boundary tightening algorithm to improve the quality of the data used in supply and use table (SUT) balancing, building on similarities with certain ap... Read More about Incorporating data quality improvement into supply–use table balancing.

Exploiting diverse distance metrics for surrogate-based optimisation of ordering problems (2016)
Presentation / Conference
Smith, J., Stone, C., & Serpell, M. (2016, July). Exploiting diverse distance metrics for surrogate-based optimisation of ordering problems. Paper presented at ACM-SIGEVO Genetic and Evolutionary Computation Conference, GECCO ’16

Surrogate-assisted optimisation has proven success in the continuous domain, but only recently begun to be explored for other representations, in particular permutations. The use of Gaussian kernel-based models has been proposed, but only tested on s... Read More about Exploiting diverse distance metrics for surrogate-based optimisation of ordering problems.

Rescheduling nursing shifts: Scoping the challenge and examining the potential of mathematical model based tools (2013)
Journal Article
Clark, A., Moule, P., Topping, A., & Serpell, M. (2015). Rescheduling nursing shifts: Scoping the challenge and examining the potential of mathematical model based tools. Journal of Nursing Management, 23(4), 411-420. https://doi.org/10.1111/jonm.12158

© 2013 John Wiley & Sons Ltd. Aim: To review research in the literature on nursing shift scheduling/rescheduling, and to report key issues identified in a consultation exercise with managers in four English National Health Service trusts to inform... Read More about Rescheduling nursing shifts: Scoping the challenge and examining the potential of mathematical model based tools.

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

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
Serpell, M. C., Clark, A. R., Smith, J. E., 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.

Self-adaptation of mutation operator and probability for permutation representations in genetic algorithms (2010)
Journal Article
Smith, J. E., 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.


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