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Dendritic Cells for Anomaly Detection
Presentation / Conference Contribution
Greensmith, J., Twycross, J., & Aickelin, U. Dendritic Cells for Anomaly Detection. Presented at Proceedings of the IEEE Congress on Evolutionary Computation (CEC 2006)

Artificial immune systems, more specifically the negative selection algorithm, have previously been applied to intrusion detection. The aim of this research is to develop
an intrusion detection system based on a novel concept in
immunology, the Dan... Read More about Dendritic Cells for Anomaly Detection.

Bayesian Optimisation Algorithm for Nurse Scheduling, Scalable Optimization via Probabilistic Modeling
Book Chapter
Li, J., & Aickelin, U. Bayesian Optimisation Algorithm for Nurse Scheduling, Scalable Optimization via Probabilistic Modeling. In M. Pelikan, K. Sastry, & E. Cantu-Paz (Eds.), Algorithms to Applications (Studies in Computational Intelligence). Springer

Our research has shown that schedules can be built mimicking a human scheduler by using a set of rules that involve domain knowledge. This chapter presents a Bayesian Optimization Algorithm (BOA) for the nurse scheduling problem that chooses such su... Read More about Bayesian Optimisation Algorithm for Nurse Scheduling, Scalable Optimization via Probabilistic Modeling.

A Component Based Heuristic Search Method with AdaptivePerturbations for Hospital Personnel Scheduling
Journal Article
Li, J., Aickelin, U., & Burke, E. A Component Based Heuristic Search Method with AdaptivePerturbations for Hospital Personnel Scheduling

Nurse rostering is a complex scheduling problem that affects hospital personnel on a daily basis all over the world. This paper presents a new component-based approach with adaptive perturbations, for a nurse scheduling problem arising at a major UK... Read More about A Component Based Heuristic Search Method with AdaptivePerturbations for Hospital Personnel Scheduling.

An Immune Network Intrusion Detection System Utilising Correlation Context
Presentation / Conference Contribution
Tedesco, G., & Aickelin, U. An Immune Network Intrusion Detection System Utilising Correlation Context. Presented at Proceedings of the Workshop on Artificial Immune Systems and Immume System Modelling (AISB 2006)

Network Intrusion Detection Systems (NIDS) are computer systems which monitor a network with the aim of discerning malicious from benign activity on that network. While a wide range of approaches have met varying levels of success, most IDSs rely on... Read More about An Immune Network Intrusion Detection System Utilising Correlation Context.

Integrating Innate and Adaptive Immunity for Intrusion Detection
Presentation / Conference Contribution
Tedesco, G., Twycross, J., & Aickelin, U. Integrating Innate and Adaptive Immunity for Intrusion Detection. Presented at Proceedings of the 5th International Conference on Artificial Immune Systems (ICARIS 2006)

Network Intrusion Detection Systems (NIDS) monitor a net-
work with the aim of discerning malicious from benign activity on that network. While a wide range of approaches have met varying levels of success, most IDS’s rely on having access to a data... Read More about Integrating Innate and Adaptive Immunity for Intrusion Detection.

Experimenting with Innate Immunity
Presentation / Conference Contribution
Twycross, J., & Aickelin, U. Experimenting with Innate Immunity. Presented at Proceedings of the Workshop on Artificial Immune Systems and Immune System Modelling (AISB 2006)

libtissue is a software system for implementing and testing AIS algorithms on real-world computer security problems. AIS algorithms are implemented as a collection of cells, antigen and signals interacting within a tissue compartment. Input data to t... Read More about Experimenting with Innate Immunity.

Libtissue - Implementing Innate Immunity
Presentation / Conference Contribution
Twycross, J., & Aickelin, U. Libtissue - Implementing Innate Immunity. Presented at Proceedings of the IEEE Congress on Evolutionary Computation (CEC 2006)

In a previous paper the authors argued the case for incorporating ideas from innate immunity into artificial
immune systems (AISs) and presented an outline for a conceptualframework for such systems. A number of key general properties observed in th... Read More about Libtissue - Implementing Innate Immunity.

Oil Price Trackers Inspired by Immune Memory
Presentation / Conference Contribution
Wilson, W., Birkin, P., & Aickelin, U. Oil Price Trackers Inspired by Immune Memory. Presented at Proceedings of the Workshop on Artificial Immune Systems and Immune System Modelling (AISB 2006)

We outline initial concepts for an immune inspired algorithm to evaluate and predict oil price time series data. The proposed solution evolves a short term pool of trackers dynamically, with each member attempting to map trends and anticipate future... Read More about Oil Price Trackers Inspired by Immune Memory.

Price Trackers Inspired by Immune Memory
Presentation / Conference Contribution
Wilson, W., Birkin, P., & Aickelin, U. Price Trackers Inspired by Immune Memory. Presented at Proceedings of the 5th International Conference on Artificial Immune Systems (ICARIS 2006)

In this paper we outline initial concepts for an immune inspired algorithm to evaluate price time series data. The proposed solution evolves a short term pool of trackers dynamically through a process of proliferation and mutation, with each member a... Read More about Price Trackers Inspired by Immune Memory.

Introducting Dendritic Cells as a Novel Immune-Inspired Algorithm for Anomaly Detection
Presentation / Conference Contribution
Greensmith, J., Aickelin, U., & Cayzer, S. Introducting Dendritic Cells as a Novel Immune-Inspired Algorithm for Anomaly Detection. Presented at Proceedings of the 4th International Conference on Artificial Immune Systems (ICARIS 2005)

Dendritic cells are antigen presenting cells that provide a
vital link between the innate and adaptive immune system. Research into this family of cells has revealed that they perform the role of coordinating T-cell based immune responses, both reac... Read More about Introducting Dendritic Cells as a Novel Immune-Inspired Algorithm for Anomaly Detection.

Performance interfaces and destabilisation
Presentation / Conference Contribution
Reeves, S., Benford, S., & O'Malley, C. Performance interfaces and destabilisation. Presented at "No one opens attachments anymore'' Workshop

Interaction with technology is occurring increasingly in public and semi-public
settings and as a result the roles of
spectator and performer are frequently being
challenged by the deployment of computing
systems. In this paper we discuss
h... Read More about Performance interfaces and destabilisation.

Re-tracing the past: mixing realities in museum settings
Presentation / Conference Contribution
Fraser, M., Bowers, J., Brundell, P., O'Malley, C., Reeves, S., Benford, S., Ciolfi, L., Ferris, K., Gallagher, P., Hall, T., Bannon, L., Taxén, G., & Hellström, S. O. Re-tracing the past: mixing realities in museum settings. Presented at Conference on Advances in Computer Entertainment (ACE)

Interactive exhibits are now commonplace in museum settings, providing ‘edutainment’ for visitors. However, many technologies co-exist uneasily with more traditional methods of display. In this paper we describe a design strategy for mixing realities... Read More about Re-tracing the past: mixing realities in museum settings.

A New Paradigm for Heuristic Decision Making, Invited Keynote Talk
Presentation / Conference Contribution
Aickelin, U. A New Paradigm for Heuristic Decision Making, Invited Keynote Talk. Presented at Annual Operational Research Conference 46

Over the last few years, more and more heuristic decision making techniques have been inspired by nature, e.g. evolutionary algorithms, ant colony optimisation and simulated annealing. More recently, a novel computational intelligence technique inspi... Read More about A New Paradigm for Heuristic Decision Making, Invited Keynote Talk.

On The Effects of Idiotypic Interactions for Recommendation Communities in Artificial Immune Systems
Journal Article
Cayzer, S., & Aickelin, U. On The Effects of Idiotypic Interactions for Recommendation Communities in Artificial Immune Systems

It has previously been shown that a recommender based on immune system idiotypic principles can outperform one based on correlation alone. This paper reports the results of work in progress, where we undertake some investigations into the nature of t... Read More about On The Effects of Idiotypic Interactions for Recommendation Communities in Artificial Immune Systems.

A Hybrid Genetic Algorithm to Solve a Logt-Sizing and Scheduling Problem
Presentation / Conference Contribution
Staggemeier, A., Clark, A., Aickelin, U., & Smith, J. A Hybrid Genetic Algorithm to Solve a Logt-Sizing and Scheduling Problem. Presented at 16th Triennial Conference of the International Federation of Operational Research Societies (IFORS 2002)

Abstract: This paper reports a lot-sizing and scheduling problem, which minimizes inventory and backlog costs on m parallel machines with sequence-dependent set-up times over t periods. Problem solutions are represented as product subsets ordered and... Read More about A Hybrid Genetic Algorithm to Solve a Logt-Sizing and Scheduling Problem.

A New Genetic Algorithm for Set Covering Problems
Presentation / Conference Contribution
Aickelin, U. A New Genetic Algorithm for Set Covering Problems. Presented at Annual Operational Research Conference 42 (OR 42)

An indirect genetic algorithm for the non-unicost set covering problem is presented. The algorithm is a two-stage meta-heuristic, which in the past was successfully applied to similar multiple-choice optimisation problems. The two stages of the algor... Read More about A New Genetic Algorithm for Set Covering Problems.

Nurse Rostering with Genetic Algorithms
Presentation / Conference Contribution
Aickelin, U. Nurse Rostering with Genetic Algorithms. Presented at Young Operational Research Conference 12 (YOR 12)

In recent years genetic algorithms have emerged as a useful tool for the heuristic solution of complex discrete optimisation problems. In particular there has been considerable interest in their use in tackling problems arising in the areas of schedu... Read More about Nurse Rostering with Genetic Algorithms.