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An improved version of volume dominance for multi-objective optimisation (2009)
Book Chapter
Le, K., Landa-Silva, D., & Li, H. (2009). An improved version of volume dominance for multi-objective optimisation. In Evolutionary Multi-Criterion Optimization: 5th International Conference, EMO 2009, Nantes, France, April 7-10, 2009. Proceedings, (231-245). Springer Verlag. https://doi.org/10.1007/978-3-642-01020-0_21

This paper proposes an improved version of volume dominance to assign fitness to solutions in Pareto-based multi-objective optimisation. The impact of this revised volume dominance on the performance of multi-objective evolutionary algorithms is inve... Read More about An improved version of volume dominance for multi-objective optimisation.

Heuristic approach for automated shelf space allocation (2009)
Conference Proceeding
Landa-Silva, D., Marikar, F., & Le, K. (2009). Heuristic approach for automated shelf space allocation. In SAC '09: Proceedings of the 2009 ACM symposium on Applied Computing, (922-928). https://doi.org/10.1145/1529282.1529482

Shelf space allocation is the problem of efficiently arranging retail products on shelves in order to maximise profit, improve stock control, improve customer satisfaction, etc. Most work reported in the literature on this problem has focused on the... Read More about Heuristic approach for automated shelf space allocation.

Evolutionary non-linear great deluge for university course timetabling (2009)
Book Chapter
Landa-Silva, D., & Obit, J. H. (2009). Evolutionary non-linear great deluge for university course timetabling. In Hybrid Artificial Intelligence Systems: 4th International Conference, HAIS 2009, Salamanca, Spain, June 10-12, 2009. Proceedings, (269-276). Springer Verlag. https://doi.org/10.1007/978-3-642-02319-4_32

This paper presents a hybrid evolutionary algorithm to tackle university course timetabling problems. The proposed approach is an extension of a non-linear great deluge algorithm in which evolutionary operators are incorporated. First, we generate a... Read More about Evolutionary non-linear great deluge for university course timetabling.

Exploring feasible and infeasible regions in the vehicle routing problem with time windows using a multi-objective particle swarm optimization approach (2009)
Book Chapter
Castro, J. P., Landa-Silva, D., & Moreno Pérez, J. A. (2009). Exploring feasible and infeasible regions in the vehicle routing problem with time windows using a multi-objective particle swarm optimization approach. In Nature Inspired Cooperative Strategies for Optimization (NICSO 2008), (103-114). Springer Verlag. https://doi.org/10.1007/978-3-642-03211-0_9

This paper investigates the ability of a discrete particle swarm optimization algorithm (DPSO) to evolve solutions from infeasibility to feasibility for the Vehicle Routing Problem with Time Windows (VRPTW). The proposed algorithm incorporates some p... Read More about Exploring feasible and infeasible regions in the vehicle routing problem with time windows using a multi-objective particle swarm optimization approach.

Automated re-typesetting, indexing and content enhancement for scanned marriage registers (2009)
Conference Proceeding
Brailsford, D. F. (2009). Automated re-typesetting, indexing and content enhancement for scanned marriage registers.

For much of England and Wales marriage registers began to be kept in 1537. The marriage details were recorded locally, and in longhand, until 1st July 1837, when central records began. All registers were kept in the local parish church. In the perio... Read More about Automated re-typesetting, indexing and content enhancement for scanned marriage registers.

Mimicking the behaviour of idiotypic AIS robot controllers using probabilistic systems (2009)
Presentation / Conference
Whitbrook, A., Whitbrook, A. M., Aickelin, U., & Garibaldi, J. M. (2009, July). Mimicking the behaviour of idiotypic AIS robot controllers using probabilistic systems. Paper presented at 13th World Multi-Conference on Systemics, Cybernetics and Informatics: WMSCI 2009

Previous work has shown that robot navigation systems that employ an architecture based upon the idiotypic network theory of the immune system have an advantage over control techniques that rely on reinforcement learning only. This is thought to be a... Read More about Mimicking the behaviour of idiotypic AIS robot controllers using probabilistic systems.

Modular assembly of cell systems biology models using P systems (2009)
Journal Article
Romero-Campero, F. J., Twycross, J., Camara, M., Bennett, M., Gheorghe, M., & Krasnogor, N. (2009). Modular assembly of cell systems biology models using P systems. International Journal of Foundations of Computer Science, 20(3), 427-442. https://doi.org/10.1142/S0129054109006668

In this paper we propose an extension of a systems/synthetic biology modelling framework based on P systems that explicitly includes modularity. Modularisation in cellular systems can be produced by chemical specificity, spatial localisation and/or t... Read More about Modular assembly of cell systems biology models using P systems.

Information Fusion for Anomaly Detection with the Dendritic Cell Algorithm (2009)
Journal Article
Greensmith, J., Aickelin, U., & Tedesco, G. (2010). Information Fusion for Anomaly Detection with the Dendritic Cell Algorithm. Information Fusion, 11(1), 21-34. https://doi.org/10.1016/j.inffus.2009.04.006

Dendritic cells are antigen presenting cells that provide a vital link between the innate and adaptive immune system, providing the initial detection of pathogenic invaders. Research into this family of cells has revealed that they perform informati... Read More about Information Fusion for Anomaly Detection with the Dendritic Cell Algorithm.

Supporting the design of network-spanning applications (2009)
Book Chapter
Rennick Egglestone, S., Boucher, A., Rodden, T., Law, A., Humble, J., Greenhalgh, C., & Greenberg, S. (2009). Supporting the design of network-spanning applications. In D. R. Olsen, K. Hinckley, M. R. Morris, & S. Hudson (Eds.), CHI EA '09: proceedings of the 27th international conference extended abstracts on human factors in computing systems. ACM Press

In this case study, we describe our use of ECT, a tool intended to simplify the design and development of network-spanning applications. We have used ECT throughout the course of a two-year collaboration, which has involved individuals with exper... Read More about Supporting the design of network-spanning applications.

FFT-based estimation of large motions in images: a robust gradient-based approach (2009)
Conference Proceeding
Tzimiropoulos, G., Argyriou, V., & Stathaki, T. (2009). FFT-based estimation of large motions in images: a robust gradient-based approach.

A fast and robust gradient-based motion estimation technique which operates in the frequency domain is presented. The algorithm combines the natural advantages of a good feature selection offered by gradient-based methods with the robustness and spee... Read More about FFT-based estimation of large motions in images: a robust gradient-based approach.

An evolutionary squeaky wheel optimisation approach to personnel scheduling (2009)
Journal Article
Aickelin, U., Li, J., & Burke, E. (2009). An evolutionary squeaky wheel optimisation approach to personnel scheduling. IEEE Transactions on Evolutionary Computation, 13(2), https://doi.org/10.1109/TEVC.2008.2004262

The quest for robust heuristics that are able to solve more than one problem is ongoing. In this paper, we present, discuss and analyse a technique called Evolutionary Squeaky Wheel Optimisation and apply it to two different personnel scheduling prob... Read More about An evolutionary squeaky wheel optimisation approach to personnel scheduling.

Parcellation of fMRI datasets with ICA and PLS: a data driven approach (2009)
Book Chapter
Ji, Y., Hervé, P., Aickelin, U., & Pitiot, A. (2009). Parcellation of fMRI datasets with ICA and PLS: a data driven approach. In G. Yang (Ed.), Medical Image Computing and Computer-Assisted Intervention - MICCAI 2009: 12th International Conference, London, UK, September 20-24, 2009: proceedings. Part 1. Springer

Inter-subject parcellation of functional Magnetic Resonance Imaging (fMRI) data based on a standard General Linear Model (GLM) and spectral clustering was recently proposed as a means to alleviate the issues associated with spatial normalization in... Read More about Parcellation of fMRI datasets with ICA and PLS: a data driven approach.

Supporting the creation of hybrid museum experiences (2009)
Journal Article
Koleva, B., Rennick-Egglestone, S., Schnädelbach, H., Glover, K., Greenhalgh, C., Rodden, T., & Dade-Robertson, M. (2009). Supporting the creation of hybrid museum experiences. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 2009, https://doi.org/10.1145/1518701.1519001

This paper presents the evolution of a tool to support the rapid prototyping of hybrid museum experiences by domain professionals. The developed tool uses visual markers to associate digital resources with physical artefacts. We present the iterative... Read More about Supporting the creation of hybrid museum experiences.

The use of probabilistic systems to mimic the behaviour of idiotypic AIS robot controllers (2009)
Journal Article
Whitbrook, A., Aickelin, U., & Garibaldi, J. M. (2009). The use of probabilistic systems to mimic the behaviour of idiotypic AIS robot controllers. Journal of Systemics, Cybernetics and Informatics, 7(6),

Previous work has shown that robot navigation systems that employ an architecture based upon the idiotypic network theory of the immune system have an advantage over control techniques that rely on reinforcement learning only. This is thought to b... Read More about The use of probabilistic systems to mimic the behaviour of idiotypic AIS robot controllers.

Cancer profiles by Affinity Propagation (2009)
Journal Article
Soria, D., Garibaldi, J. M., Ambrogi, F., Boracchi, P., Raimondi, E., & Biganzoli, E. M. (2009). Cancer profiles by Affinity Propagation. International Journal of Knowledge Engineering and Soft Data Paradigms, 1(3), https://doi.org/10.1504/IJKESDP.2009.028814

The Affinity Propagation algorithm is applied to various problems of breast and cutaneous tumours subtyping using traditional biologic markers. The algorithm provides a procedure to determine the number of profiles to be considered. Well know breast... Read More about Cancer profiles by Affinity Propagation.

Modelling and simulating retail management practices: a first approach (2009)
Journal Article
Siebers, P., Aickelin, U., Celia, H., & Clegg, C. (2009). Modelling and simulating retail management practices: a first approach. International Journal of Simulation and Process Modelling, 5(3), https://doi.org/10.1504/IJSPM.2009.031096

Multi-agent systems offer a new and exciting way of understanding the world of work. We apply agent-based modeling and simulation to investigate a set of problems in a retail context. Specifically, we are working to understand the relationship betwe... Read More about Modelling and simulating retail management practices: a first approach.

Exploration of the dendritic cell algorithm with the duration calculus (2009)
Book Chapter
Gu, F., Greensmith, J., & Aickelin, U. (2009). Exploration of the dendritic cell algorithm with the duration calculus. In P. S. Andrews, J. Timmis, N. D. Owens, U. Aickelin, E. Hart, A. Hone, & A. M. Tyrrell (Eds.), Artificial immune systems: 8th international conference, ICARIS 2009, York, UK, August 9-12, 2009: proceedings. Springer

As one of the newest members in Articial Immune Systems (AIS), the Dendritic Cell Algorithm (DCA) has been applied to a range of problems. These applications mainly belong to the eld of anomaly detection. However, real-time detection, a new challeng... Read More about Exploration of the dendritic cell algorithm with the duration calculus.

ArrayMining: a modular web-application for microarray analysis combining ensemble and consensus methods with cross-study normalization (2009)
Journal Article
Glaab, E., Garibaldi, J., & Krasnogor, N. (2009). ArrayMining: a modular web-application for microarray analysis combining ensemble and consensus methods with cross-study normalization. BMC Bioinformatics, 10, Article Article 358. https://doi.org/10.1186/1471-2105-10-358

Background: Statistical analysis of DNA microarray data provides a valuable diagnostic tool for the investigation of genetic components of diseases. To take advantage of the multitude of available data sets and analysis methods, it is desirable to c... Read More about ArrayMining: a modular web-application for microarray analysis combining ensemble and consensus methods with cross-study normalization.

Investigating output accuracy for a discrete event simulation model and an agent based simulation model (2009)
Conference Proceeding
Abdul Majid, M., Aickelin, U., & Siebers, P. (2009). Investigating output accuracy for a discrete event simulation model and an agent based simulation model.

In this paper, we investigate output accuracy for a Discrete Event Simulation (DES) model and Agent Based Simulation (ABS) model. The purpose of this investigation is to find out which of these simulation techniques is the best one for modelling hum... Read More about Investigating output accuracy for a discrete event simulation model and an agent based simulation model.