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Flexible and dynamic network coding for adaptive data transmission in DTNs (2012)
Conference Proceeding
Radenkovic, M., Zakhary, S., Radenkovic, M., & Zakhary, S. (2012). Flexible and dynamic network coding for adaptive data transmission in DTNs. In Wireless Communications and Mobile Computing Conference (IWCMC), 8th International (567--573). https://doi.org/10.1109/IWCMC.2012.6314266

Existing network coding approaches for Delay-Tolerant Networks (DTNs) do not detect and adapt to congestion in the network. In this paper we describe CafNC (Congestion aware forwarding with Network Coding) that combines adaptive network coding and a... Read More about Flexible and dynamic network coding for adaptive data transmission in DTNs.

The role of roles: Physical cooperation between humans and robots (2012)
Journal Article
Mörtl, A., Lawitzky, M., Kucukyilmaz, A., Sezgin, M., Basdogan, C., & Hirche, S. (2012). The role of roles: Physical cooperation between humans and robots. International Journal of Robotics Research, 31(13), 1656--1674. https://doi.org/10.1177/0278364912455366

Since the strict separation of working spaces of humans and robots has experienced a softening due to recent robotics research achievements, close interaction of humans and robots comes rapidly into reach. In this context, physical human–robot intera... Read More about The role of roles: Physical cooperation between humans and robots.

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.

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.

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.

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.

Efficient and adaptive congestion control for heterogeneous delay-tolerant networks (2012)
Journal Article
Radenkovic, M., & Grundy, A. (2012). Efficient and adaptive congestion control for heterogeneous delay-tolerant networks. Ad Hoc Networks, 10(7), https://doi.org/10.1016/j.adhoc.2012.03.013

Detecting and dealing with congestion in delay-tolerant networks (DTNs) is an important and challenging problem. Current DTN forwarding algorithms typically direct traffic towards more central nodes in order to maximise delivery ratios and minimise d... Read More about Efficient and adaptive congestion control for heterogeneous delay-tolerant networks.

The dendritic cell algorithm for intrusion detection (2012)
Book Chapter
Gu, F., Greensmith, J., & Aickelin, U. (2012). The dendritic cell algorithm for intrusion detection. In P. Lio, & D. Verma (Eds.), Biologically inspired networking and sensing : algorithms and architectures. IGI Global

As one of the solutions to intrusion detection problems, Artificial Immune Systems (AIS) have shown their advantages. Unlike genetic algorithms, there is no one archetypal AIS, instead there are four major paradigms. Among them, the Dendritic Cell Al... Read More about The dendritic cell algorithm for intrusion detection.

Regularized kernel discriminant analysis with a robust kernel for face recognition and verification (2012)
Journal Article
Zafeiriou, S., Tzimiropoulos, G., Petrou, M., & Stathaki, T. (2012). Regularized kernel discriminant analysis with a robust kernel for face recognition and verification. IEEE Transactions on Neural Networks and Learning Systems, 23(3), https://doi.org/10.1109/TNNLS.2011.2182058

We propose a robust approach to discriminant kernel-based feature extraction for face recognition and verification. We show, for the first time, how to perform the eigen analysis of the within-class scatter matrix directly in the feature space. This... Read More about Regularized kernel discriminant analysis with a robust kernel for face recognition and verification.

Automating the packing heuristic design process with genetic programming (2012)
Journal Article
Burke, E. K., Hyde, M. R., Kendall, G., & Woodward, J. (in press). Automating the packing heuristic design process with genetic programming. Evolutionary Computation, 20(1), https://doi.org/10.1162/EVCO_a_00044

The literature shows that one-, two-, and three-dimensional bin packing and knapsack packing are difficult problems in operational research. Many techniques, including exact, heuristic, and metaheuristic approaches, have been investigated to solve th... Read More about Automating the packing heuristic design process with genetic programming.

Evidence and belief in regulatory decisions – incorporating expected utility into decision modelling (2012)
Journal Article
Li, J., Davies, G., Kendall, G., Soane, E., Bai, R., Rocks, S., & Pollard, S. (2012). Evidence and belief in regulatory decisions – incorporating expected utility into decision modelling. Expert Systems with Applications, 39(10), https://doi.org/10.1016/j.eswa.2012.01.193

Recent changes in the assessment and management of risks has had the effect that greater importance has been placed on relationships between individuals and within groups to inform decision making. In this paper, we provide the theoretical underpinni... Read More about Evidence and belief in regulatory decisions – incorporating expected utility into decision modelling.

A new sequential covering strategy for inducing classification rules with ant colony algorithms (2012)
Journal Article
Otero, F. E. B., Freitas, A. A., & Johnson, C. G. (2012). A new sequential covering strategy for inducing classification rules with ant colony algorithms. IEEE Transactions on Evolutionary Computation, 17(1), 64-76. https://doi.org/10.1109/TEVC.2012.2185846

Ant colony optimization (ACO) algorithms have been successfully applied to discover a list of classification rules. In general, these algorithms follow a sequential covering strategy, where a single rule is discovered at each iteration of the algorit... Read More about A new sequential covering strategy for inducing classification rules with ant colony algorithms.