All Outputs (176)

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.

Towards self-aware PerAda systems. (2010)
Presentation / Conference Contribution
Hart, E., & Paechter, B. (2010, July). Towards self-aware PerAda systems

Pervasive Adaptation (PerAda) refers to massive-scale pervasive information and communication systems which are capable of autonomously adapting to highly dynamic and open technological and user contexts. PerAda systems are thus a special case of col... Read More about Towards self-aware PerAda systems..

Clonal selection from first principles. (2010)
Presentation / Conference Contribution
McEwan, C., & Hart, E. (2010, July). Clonal selection from first principles

Clonal selection is the keystone of mainstream immunology
and computational systems based on immunological principles. For the
latter, clonal selection is often interpreted as an asexual variant of natural
selection, and thus, tend to be variation... Read More about Clonal selection from first principles..

Symbiotic cognitive networks: a proposal. (2010)
Presentation / Conference Contribution
Rasheed, T., Hart, E., Falconer, R., & Bown, J. (2010, July). Symbiotic cognitive networks: a proposal. Presented at 9th International Conference Artificial Immune Systems ICARIS 2010

We describe the concept of a cognitive network and propose that ecosystems of co-existing networks which are globally energy efficient while providing the expected quality of service can be realised by exploiting two mechanisms which occur in biologi... Read More about Symbiotic cognitive networks: a proposal..

Influence of topology and payload on CO2 optimised vehicle routing (2010)
Presentation / Conference Contribution
Scott, C., Urquhart, N. B., & Hart, E. (2010). Influence of topology and payload on CO2 optimised vehicle routing. In Applications of Evolutionary Computing (141-150). https://doi.org/10.1007/978-3-642-12242-2_15

This paper investigates the influence of gradient and payload correction factors used within a CO2 emission model on the solutions to shortest path and travelling salesman problems when applied to freight delivery.
Problem instances based on real li... Read More about Influence of topology and payload on CO2 optimised vehicle routing.

Using an evolutionary algorithm to discover low CO2 tours within a Travelling Salesman Problem (2010)
Presentation / Conference Contribution
Urquhart, N. B., Scott, C., & Hart, E. (2010, April). Using an evolutionary algorithm to discover low CO2 tours within a Travelling Salesman Problem. Presented at Applications of evolutionary computation : EvoApplications 2010, Istanbul, Turkey

This paper examines the issues surrounding the effects of using vehicle emissions as the fitness criteria when solving routing problems using evolutionary techniques. The case-study examined is that of the Travelling Salesman Problem (TSP) based upon... Read More about Using an evolutionary algorithm to discover low CO2 tours within a Travelling Salesman Problem.

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..

On artificial immune systems and swarm intelligence (2010)
Journal Article
Timmis, J., Andrews, P., & Hart, E. (2010). On artificial immune systems and swarm intelligence. Swarm Intelligence, 4(4), 247-273. https://doi.org/10.1007/s11721-010-0045-5

This position paper explores the nature and role of two bio-inspired paradigms, namely Artificial Immune Systems (AIS) and Swarm Intelligence (SI). We argue that there are many aspects of AIS that have direct parallels with SI and examine the role of... Read More about On artificial immune systems and swarm intelligence.

New network paradigms (2010)
Book
(2010). E. Altman, T. Basar, E. Hart, D. Miorandi, A. Moustakas, & S. Toumpis (Eds.), New network paradigms. Elsevier

Exploiting Collaborations in the Immune System: The Future of Artificial Immune Systems (2009)
Book Chapter
Hart, E., McEwan, C., & Davoudani, D. (2009). Exploiting Collaborations in the Immune System: The Future of Artificial Immune Systems. In C. Mumford, & L. Jain (Eds.), Intelligent Systems Reference Library; Computational Intelligence (527-558). Springer-Verlag. https://doi.org/10.1007/978-3-642-01799-5_16

Despite a steady increase in the application of algorithms inspired by the natural immune system to a variety of domains over the previous decade, we argue that the field of Artificial Immune Systems has yet to achieve its full potential. We suggest... Read More about Exploiting Collaborations in the Immune System: The Future of Artificial Immune Systems.

On AIRS and clonal selection for machine learning (2009)
Presentation / Conference Contribution
McEwan, C., & Hart, E. (2009). On AIRS and clonal selection for machine learning. In Artificial Immune Systems (67-79). https://doi.org/10.1007/978-3-642-03246-2_11

Many recent advances have been made in understanding the functional implications of the global topological properties of biological networks through the application of complex network theory, particularly in the area of small-world and scale-free top... Read More about On AIRS and clonal selection for machine learning.

The secret life of the immune system: inspiring pervasive systems (2009)
Newspaper / Magazine
Hart, E. (2009). The secret life of the immune system: inspiring pervasive systems

The immune system performs more than simply defence and exploiting its additional functionality can lead to the design of better pervasive adaptive systems.

Dendritic cell trafficking: from Immunology to Engineering. (2009)
Presentation / Conference Contribution
Hart, E., & Davoudani, D. (2009). Dendritic cell trafficking: from Immunology to Engineering. In Artificial Immune Systems (11-13). https://doi.org/10.1007/978-3-642-03246-2_4

The field of Artificial Immune Systems (AIS) has derived inspiration from many different elements of the natural immune system in order to develop engineered systems that operate in environments with constraints similar to those faced by the immune s... Read More about Dendritic cell trafficking: from Immunology to Engineering..

Structure versus function: a topological perspective on immune networks (2009)
Journal Article
Hart, E., Bersini, H., & Santos, F. (2009). Structure versus function: a topological perspective on immune networks. Natural Computing, https://doi.org/10.1007/s11047-009-9138-8

Many recent advances have been made in understanding the functional implications of the global topological properties of biological networks through the application of complex network theory, particularly in the area of small-world and scale-free top... Read More about Structure versus function: a topological perspective on immune networks.

Representation in the (Artificial) Immune System (2009)
Journal Article
McEwan, C., & Hart, E. (2009). Representation in the (Artificial) Immune System. Journal of Mathematical Modelling and Algorithms, 8(2), 125-149. https://doi.org/10.1007/s10852-009-9104-6

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. We propose that this dich... Read More about Representation in the (Artificial) Immune System.

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..

Immuno-engineering (2008)
Presentation / Conference Contribution
Timmis, J., Hart, E., Hone, A., Neal, M., Robins, A., Stepney, S., & Tyrrell, A. (2008, September). Immuno-engineering. Presented at IFIP 20th World Computer Congress, Second IFIP TC 10 International Conference on Biologically-Inspired Collaborative Computing, Milano, Italy

In this position paper, we outline a vision for a new type of engineering: immuno-engineering, that can be used for the development of biologically grounded and theoretically understood Artificial Immune Systems (AIS). We argue that, like many bio-in... Read More about Immuno-engineering.

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.

Application areas of AIS: The past, the present and the future (2008)
Journal Article
Hart, E., & Timmis, J. (2008). Application areas of AIS: The past, the present and the future. Applied Soft Computing, 8(1), 191-201. https://doi.org/10.1016/j.asoc.2006.12.004

After a decade of research into the area of artificial immune systems, it is worthwhile to take a step back and reflect on the contributions that the
paradigm has brought to the application areas to which it has been applied. Undeniably, there have... Read More about Application areas of AIS: The past, the present and the future.