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Outputs (226)

Computing the State of Specknets: an immune-inspired approach. (2009)
Presentation / Conference Contribution
Davoudani, D., Hart, E., & Paechter, B. (2009). Computing the State of Specknets: an immune-inspired approach. In Performance Evaluation of Computer and Telecommunication Systems, 2008. SPECTS 2008. International Symposium on (52-59)

Speckled Computing is an emerging technology based on the deployment of thousands of minute semiconductor grains in dense, wireless networks known as Specknets. Specknets collect and process data to achieve some application dependent functionalit... Read More about Computing the State of Specknets: an immune-inspired approach..

Computing the State of Specknets: further analysis of an innate immune-inspired model. (2008)
Presentation / Conference Contribution
Davoudani, D., Hart, E., & Paechter, B. (2008, August). Computing the State of Specknets: further analysis of an innate immune-inspired model

Specknets consist of hundreds of miniature devices, which are each capable of processing data and communicating wirelessly across short distances. Such networks, with their great complexity, pose considerable challenges for engineers due to the unrel... Read More about Computing the State of Specknets: further analysis of an innate immune-inspired model..

Carbon-friendly travel plan construction using an evolutionary algorithm (2007)
Presentation / Conference Contribution
Urquhart, N. B., & Urquhart, N. B. (2007, July). Carbon-friendly travel plan construction using an evolutionary algorithm. Presented at Proceedings of the 9th annual conference on Genetic and evolutionary computation - GECCO '07

This paper discusses the use of an evolutionary algorithm to design workplace travel plans, to promote car sharing and reduce carbon emissions from single-occupancy motor vehicles.

A role for immunology in 'next generation' robots. (2003)
Presentation / Conference Contribution
Hart, E., Ross, P., Webb, A., & Lawson, A. (2003). A role for immunology in 'next generation' robots. In J. Timmis, P. Bentley, & E. Hart (Eds.), Artificial Immune Systems. ICARIS 2003 (46-56). https://doi.org/10.1007/978-3-540-45192-1_5

Much of current robot research is about learning tasks in which the task to be achieved is pre-specified, a suitable technology for the task is chosen and the learning process is experimentally investigated. A more interesting research question is ho... Read More about A role for immunology in 'next generation' robots..

Requirements for getting a robot to grow up. (2003)
Presentation / Conference Contribution
Ross, P., Hart, E., Lawson, A., Webb, A., Prem, E., Poelz, P., & Morgavi, G. (2003). Requirements for getting a robot to grow up.

Controlling a simulated Khepera with an XCS classifier system with memory. (2003)
Presentation / Conference Contribution
Webb, A., Hart, E., Ross, P., & Lawson, A. (2003). Controlling a simulated Khepera with an XCS classifier system with memory.

Autonomous agents commonly suffer from perceptual aliasing in which differing situations are perceived as identical by the robots sensors, yet require different courses of action. One technique for addressing this problem is to use additional interna... Read More about Controlling a simulated Khepera with an XCS classifier system with memory..

A GA evolving instructions for a timetable builder. (2002)
Presentation / Conference Contribution
Blum, C., Correia, S., Dorigo, M., Paechter, B., Rossi-Doria, O., & Snoek, M. (2002, August). A GA evolving instructions for a timetable builder. Presented at PATAT 2002

In this work we present a Genetic Algorithm for tackling timetabling problems. Our approach uses an indirect solution representation, which denotes a number of instructions for a timetable builder on how to sequentially build a solution. These instru... Read More about A GA evolving instructions for a timetable builder..

Exploiting the analogy between immunology and sparse distributed memory. (2002)
Presentation / Conference Contribution
Hart, E., & Ross, P. (2002). Exploiting the analogy between immunology and sparse distributed memory. In J. Timmis, & P. J. Bentley (Eds.), ICARIS 2002 : 1st International Conference on Artificial Immune Systems (59-67)

The relationship between immunological memory and a class of associative memories known as sparse distributed memories (SDM) is well known. This paper proposes a new model for clustering non-stationary data based on a combination of salient features... Read More about Exploiting the analogy between immunology and sparse distributed memory..

A local search for the timetabling problem. (2002)
Presentation / Conference Contribution
Rossi-Doria, O., Blum, C., Knowles, J., Sampels, M., Socha, K., & Paechter, B. (2002, August). A local search for the timetabling problem. Presented at PATAT 2002

This work is part of the Metaheuristic Network, a European Commission project that seeks to empirically compare the performance of various metaheuristics on different combinatorial optimization problems. In this paper we define a representation, a ne... Read More about A local search for the timetabling problem..

Solving CSPs with evolutionary algorithms using self-adaptive constraint weights. (2000)
Presentation / Conference Contribution
Eiben, A. E., Jansen, B., Michalewicz, Z., & Paechter, B. (2000, July). Solving CSPs with evolutionary algorithms using self-adaptive constraint weights. Presented at Genetic and Evolutionary Computation Conference (GECCO-2000)

This paper examines evolutionary algorithms (EAs) extended by various penalty-based approaches to solve constraint satisfaction problems (CSPs). In some approaches, the penalties are set in advance and they do not change during a run. In other appro... Read More about Solving CSPs with evolutionary algorithms using self-adaptive constraint weights..

An immune system approach to scheduling in changing environments. (1999)
Presentation / Conference Contribution
Hart, E., & Ross, P. (1999, July). An immune system approach to scheduling in changing environments. Presented at Genetic and Evolutionary Computation Conference ; GECCO-99

This paper describes the application of an artificial immune system, (AIS), model to a scheduling application, in which sudden changes in the scheduling environment require the rapid production of new schedules. The model operates in two phases: In t... Read More about An immune system approach to scheduling in changing environments..

Boosting the Immune System (2008)
Presentation / Conference Contribution
McEwan, C., Hart, E., & Paechter, B. (2008). Boosting the Immune System. In Artificial Immune Systems (316-327). https://doi.org/10.1007/978-3-540-85072-4_28

Much of contemporary research in Artificial Immune Systems (AIS) has partitioned into either algorithmic machine learning and optimisation, or modelling biologically plausible dynamical systems, with little overlap between. Although the balance is la... Read More about Boosting the Immune System.

AGADE how individual guidance leads to group behaviour and how this can be simulated (2014)
Presentation / Conference Contribution
Farrenkopf, T., Guckert, M., Hoffmann, B., & Urquhart, N. B. (2014, September). AGADE how individual guidance leads to group behaviour and how this can be simulated. Presented at 12th German Conference, MATES 2014, Stuttgart, Germany

In this paper we will demonstrate how BDI agents can be used to model individuals as participants in social structures where they act as potential buyers in a simple mobile phone market simulation. The simulation presented here is run in AGADE (Agile... Read More about AGADE how individual guidance leads to group behaviour and how this can be simulated.

On the life-long learning capabilities of a NELLI*: a hyper-heuristic optimisation system. (2014)
Presentation / Conference Contribution
Hart, E., & Sim, K. (2014, September). On the life-long learning capabilities of a NELLI*: a hyper-heuristic optimisation system

Real-world applications of optimisation techniques place more importance on finding approaches that result in acceptable quality solutions in a short time-frame and can provide robust solutions, capable of being modified in response to changes in the... Read More about On the life-long learning capabilities of a NELLI*: a hyper-heuristic optimisation system..

Techniques for Auditing the ICT Carbon Footprint of an Organisation (2014)
Journal Article
Mouchet, C., Urquhart, N., & Kemmer, R. (2014). Techniques for Auditing the ICT Carbon Footprint of an Organisation. International Journal of Green Computing, 5(1), 44-61. https://doi.org/10.4018/ijgc.2014010104

This article has presents an extensive survey of the state of the art in Green IT/S. The findings of the survey suggest that there is scope for a reliable carbon footprint auditing tool for organisational ICT usage. A prototype auditing tool is devel... Read More about Techniques for Auditing the ICT Carbon Footprint of an Organisation.

This pervasive day: design and development case study. (2011)
Presentation / Conference Contribution
Helgason, I., Bradley, J., & Egan, C. (2011, March). This pervasive day: design and development case study. Paper presented at i-Docs, A Symposium on Interactive Documentary

This presentation will describe the development process, and the underpinning rationale, behind a multi-format, interactive exhibition and online documentary. This project, to be presented at the Edinburgh International Science Festival and the Scien... Read More about This pervasive day: design and development case study..

Building low CO2 solutions to the vehicle routing problem with time windows using an evolutionary algorithm. (2010)
Presentation / Conference Contribution
Urquhart, N. B., Hart, E., & Scott, C. (2010). Building low CO2 solutions to the vehicle routing problem with time windows using an evolutionary algorithm. In IEEE Congress on Evolutionary Computation. https://doi.org/10.1109/CEC.2010.5586088

An evolutionary Multi-Objective Algorithm (MOA) is used to investigate the trade-off between CO2 savings, distance and number of vehicles used in a typical vehicle routing problem with Time Windows (VRPTW). A problem set is derived containing three... Read More about Building low CO2 solutions to the vehicle routing problem with time windows using an evolutionary algorithm..

Artificial Immune Systems: 9th International Conference, ICARIS 2010, Edinburgh, UK, July 26-29, 2010, Proceedings (2010)
Presentation / Conference Contribution
(2010, July). Artificial Immune Systems: 9th International Conference, ICARIS 2010, Edinburgh, UK, July 26-29, 2010, Proceedings. Presented at 9th International Conference, ICARIS 2010, Edinburgh, UK

Artificial immune systems (AIS) is a diverse and maturing area of research that bridges the disciplines of immunology and computation. The original research impetus in AIS had a clear focus on applying immunological principles to computational proble... Read More about Artificial Immune Systems: 9th International Conference, ICARIS 2010, Edinburgh, UK, July 26-29, 2010, Proceedings.