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Outputs (36)

Evaluating different cost-benefit analysis methods for port security operations (2012)
Book Chapter
Sherman, G., Siebers, P., Menachof, D., & Aickelin, U. (2012). Evaluating different cost-benefit analysis methods for port security operations. In J. Faulin, A. A. Juan, S. E. Grasman, & M. J. Fry (Eds.), Decision making in service industries: a practical approach. CRC Press

Service industries, such as ports, are attentive to their standards, a smooth service flow and economic viability. Cost benefit analysis has proven itself as a useful tool to support this type of decision making; it has been used by businesses and go... Read More about Evaluating different cost-benefit analysis methods for port security operations.

The algorithmics of solitaire-like games (2012)
Journal Article
Backhouse, R., Chen, W., & Ferreira, J. F. (2013). The algorithmics of solitaire-like games. Science of Computer Programming, 78(11), 2029-2046. https://doi.org/10.1016/j.scico.2012.07.007

One-person solitaire-like games are explored with a view to using them in teaching algorithmic problem solving. The key to understanding solutions to such games is the identification of invariant properties of polynomial arithmetic. We demonstrate th... Read More about The algorithmics of solitaire-like games.

An evolutionary non-Linear great deluge approach for solving course timetabling problems (2012)
Journal Article
Obit, J. H., Ouelhadj, D., Landa-Silva, D., & Alfred, R. (2012). An evolutionary non-Linear great deluge approach for solving course timetabling problems. International Journal of Computer Science Issues, 9(4),

The aim of this paper is to extend our non-linear great deluge algorithm into an evolutionary approach by incorporating a population and a mutation operator to solve the university course timetabling problems. This approach might be seen as a variati... Read More about An evolutionary non-Linear great deluge approach for solving course timetabling problems.

Using rule-based machine learning for candidate disease gene prioritization and sample classification of cancer gene expression data (2012)
Journal Article
Glaab, E., Bacardit, J., Garibaldi, J. M., & Krasnogor, N. (2012). Using rule-based machine learning for candidate disease gene prioritization and sample classification of cancer gene expression data. PLoS ONE, 7(7), Article e39932. https://doi.org/10.1371/journal.pone.0039932

Microarray data analysis has been shown to provide an effective tool for studying cancer and genetic diseases. Although classical machine learning techniques have successfully been applied to find informative genes and to predict class labels for new... Read More about Using rule-based machine learning for candidate disease gene prioritization and sample classification of cancer gene expression data.

First-past-the-post games (2012)
Book Chapter
Backhouse, R. (2012). First-past-the-post games. In J. Gibbons, & P. Nogueira (Eds.), Mathematics of program construction: 11th International Conference, MPC 2012, Madrid, Spain, June 25-27, 2012: proceedings. Springer. https://doi.org/10.1007/978-3-642-31113-0_9

Informally, a first-past-the-post game is a (probabilistic) game where the winner is the person who predicts the event that occurs first among a set of events. Examples of first-past-the-post games include so-called block and hidden patterns and the... Read More about First-past-the-post games.

Evolutionary local search for solving the office space allocation problem (2012)
Conference Proceeding
Ulker, O., & Landa-Silva, D. (2012). Evolutionary local search for solving the office space allocation problem.

Office Space Allocation (OSA) is the task of correctly allocating the spatial resources of an institution to a set of entities by minimising the wastage of space and the violation of additional constraints. In this paper, an evolutionary local search... Read More about Evolutionary local search for solving the office space allocation problem.

A three-dimensional model of residential energy consumer archetypes for local energy policy design in the UK (2012)
Journal Article
Zhang, T., Siebers, P., & Aickelin, U. (2012). A three-dimensional model of residential energy consumer archetypes for local energy policy design in the UK. Energy Policy, 47, 102-110. https://doi.org/10.1016/j.enpol.2012.04.027

This paper reviews major studies in three traditional lines of research in residential energy consumption in the UK, i.e. economic/infrastructure, behaviour, and load profiling. Based on the review the paper proposes a three-dimensional model for arc... Read More about A three-dimensional model of residential energy consumer archetypes for local energy policy design in the UK.

Reconstituting typeset Marriage Registers using simple software tools (2012)
Journal Article
Brailsford, D. F. (2012). Reconstituting typeset Marriage Registers using simple software tools. Computer Science - Research and Development, 27(2), https://doi.org/10.1007/s00450-010-0145-x

In a world of fully integrated software applications, which can seem daunting to develop and to maintain, it is sometimes useful to recall that a system of loosely-linked software components can provide surprisingly powerful and flexible methods for... Read More about Reconstituting typeset Marriage Registers using simple software tools.

Investigating the effectiveness of variance reduction techniques in manufacturing, call center and cross-docking discrete event simulation models (2012)
Book Chapter
Adewunmi, A., & Aickelin, U. (2012). Investigating the effectiveness of variance reduction techniques in manufacturing, call center and cross-docking discrete event simulation models. In S. Bangsow (Ed.), Use cases of discrete event simulation: appliance and research. Springer. https://doi.org/10.1007/978-3-642-28777-0

Variance reduction techniques have been shown by others in the past to be a useful tool to reduce variance in Simulation studies. However, their application and success in the past has been mainly domain specific, with relatively little guidelines as... Read More about Investigating the effectiveness of variance reduction techniques in manufacturing, call center and cross-docking discrete event simulation models.