All Outputs (7)

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..