Outputs (2122)

The DCA:SOMe comparison: a comparative study between two biologically-inspired algorithms
Journal Article
Greensmith, J., Feyereisl, J., & Aickelin, U. The DCA:SOMe comparison: a comparative study between two biologically-inspired algorithms. Evolutionary Intelligence, 1(2), https://doi.org/10.1007/s12065-008-0008-6

The dendritic cell algorithm (DCA) is an immune-inspired algorithm, developed for the purpose of anomaly detection. The algorithm performs multi-sensor data fusion and correlation which results in a ‘context aware’ detection system. Previous applicat... Read More about The DCA:SOMe comparison: a comparative study between two biologically-inspired algorithms.

Modelling and analysing human behaviour in a department store using discrete event and agent based simulation
Presentation / Conference Contribution
Majid, M. A., Aickelin, U., & Siebers, P.-O. Modelling and analysing human behaviour in a department store using discrete event and agent based simulation. Presented at Annual Operational Research Conference 50 (OR 50)

Discrete Event Simulation (DES) is a very popular simulation technique in Operational Research. Recently, there has been the emergence of another technique, namely Agent Based Simulation (ABS). Although there is a lot of literature relating to DES an... Read More about Modelling and analysing human behaviour in a department store using discrete event and agent based simulation.

Agent based simulation as a novel decision support tool for retail managers
Presentation / Conference Contribution
Siebers, P.-O., Aickelin, U., Celia, H., & Clegg, C. Agent based simulation as a novel decision support tool for retail managers. Presented at ECMI 2008 - European Consortium for Mathematics in Industry

Intelligent agents offer a new and exciting way of understanding the world of work. We apply
agent-based simulation to investigate a set of problems in a retail context. Specifically, we are
working to understand the relationship between human reso... Read More about Agent based simulation as a novel decision support tool for retail managers.

An idiotypic immune network as a short-term learning architecture for mobile robots
Book Chapter
Whitbrook, A., Aickelin, U., & Garibaldi, J. M. An idiotypic immune network as a short-term learning architecture for mobile robots. In P. Bentley, D. Lee, & S. Jung (Eds.), Artificial immune systems: 7th international conference, ICARIS 2008, Phuket, Thailand, August 10-13, 2008: proceedings. Springer

A combined Short-Term Learning (STL) and Long-Term Learning (LTL) approach to solving mobile robot navigation problems is presented and tested in both real and simulated environments. The LTL consists of rapid simulations
that use a Genetic Algorith... Read More about An idiotypic immune network as a short-term learning architecture for mobile robots.

Genetic algorithm seeding of idiotypic networks for mobile-robot navigation
Presentation / Conference Contribution
Whitbrook, A., Aickelin, U., & Garibaldi, J. M. Genetic algorithm seeding of idiotypic networks for mobile-robot navigation. Presented at 5th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2008)

Robot-control designers have begun to exploit the properties of the human immune system in order to
produce dynamic systems that can adapt to complex, varying, real-world tasks. Jerne’s idiotypic-network theory has proved the most popular artificial... Read More about Genetic algorithm seeding of idiotypic networks for mobile-robot navigation.

Investigating a Hybrid Metaheuristic For Job Shop Rescheduling
Presentation / Conference Contribution
Abdullah, S., Aickelin, U., Burke, E., Din, A., & Qu, R. Investigating a Hybrid Metaheuristic For Job Shop Rescheduling. Presented at Proceedings of the 3rd Australian Conference on Artificial Life (ACAL.07)

Previous research has shown that artificial immune systems can be used to produce robust schedules in a manufacturing environment. The main goal is to develop building blocks (antibodies) of partial schedules that can be used to construct backup solu... Read More about Investigating a Hybrid Metaheuristic For Job Shop Rescheduling.

Noise Reduction Technique for a Simulation Optimisation Study
Presentation / Conference Contribution
Adewunmi, A., & Aickelin, U. Noise Reduction Technique for a Simulation Optimisation Study. Presented at Annual Operational Research Conference 49 (OR 49)

This paper reports on an attempt to apply Genetic Algorithms to the problem of optimising a complex system, through discrete event simulation (Simulation Optimisation), with a view to reducing the noise associated with such a procedure. We are applyi... Read More about Noise Reduction Technique for a Simulation Optimisation Study.

Using intelligent agents to understand organisational behaviour
Presentation / Conference Contribution
Celia, H., Clegg, C., Robinson, M., Siebers, P.-O., Aickelin, U., & Sprigg, C. Using intelligent agents to understand organisational behaviour. Presented at British Psychology Society Annual Conference, Division of Occupational Psychology (BPS 2007)

This paper introduces two ongoing research projects which seek to apply computer modelling techniques in order to simulate human behaviour within organisations. Previous research in other disciplines has suggested that complex social behaviours are g... Read More about Using intelligent agents to understand organisational behaviour.

Understanding the Impact of Management Practices and Other Factors on Productivity in the UK Retail Sector
Presentation / Conference Contribution
Celia, H., Clegg, C., Siebers, P.-O., & Aickelin, U. Understanding the Impact of Management Practices and Other Factors on Productivity in the UK Retail Sector. Presented at The 13th European Congress of Work and Organizational Psychology (EAWOP 2007)

Insights into how management practices and other factors impact upon company productivity in the UK retail sector. Creating a sound base of applied knowledge and understanding to inform other components of our project.

Dendritic Cells for SYN Scan Detection
Presentation / Conference Contribution
Greensmith, J., & Aickelin, U. Dendritic Cells for SYN Scan Detection. Presented at Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2007)

Artificial immune systems have previously been applied to the problem of intrusion detection. The aim of this research is to develop an intrusion detection system based on the function of Dendritic Cells (DCs). DCs are antigen presenting cells and ke... Read More about Dendritic Cells for SYN Scan Detection.