Design Issues for Peer-to-Peer Massively Multiplayer Online Games. (2010)
Journal Article
Fan, L., Trinder, P., & Taylor, H. (2010). Design Issues for Peer-to-Peer Massively Multiplayer Online Games. International Journal of Advanced Media and Communication, 4, 108-125. https://doi.org/10.1504/IJAMC.2010.032138

Massively Multiplayer Online Games (MMOGs) are increasing in both popularity and scale, and while classical Client/Server (C/S) architectures convey some benefits, they suffer from significant technical and commercial drawbacks. This realisation has... Read More about Design Issues for Peer-to-Peer Massively Multiplayer Online Games..

Deadline-Driven Auctions for NPC Host Allocation on P2P MMOGs. (2010)
Journal Article
Fan, L., Trinder, P., & Taylor, H. (2010). Deadline-Driven Auctions for NPC Host Allocation on P2P MMOGs. International Journal of Advanced Media and Communication, 4, 140-153. https://doi.org/10.1504/IJAMC.2010.032140

We present the design, implementation and evaluation of Deadline-Driven Auctions (DDAs), a novel task-mapping infrastructure for heterogeneous distributed environments. DDA is primarily designed for hosting Non-Player Characters (NPCs) in P2P Massive... Read More about Deadline-Driven Auctions for NPC Host Allocation on P2P MMOGs..

Representation and Decision Making in the Immune System (2010)
Thesis
McEwan, C. Representation and Decision Making in the Immune System. (Thesis). Edinburgh Napier University. http://researchrepository.napier.ac.uk/id/eprint/4157

The immune system has long been attributed cognitive capacities such as "recognition" of pathogenic agents; "memory" of previous infections; "regulation" of a cavalry of detector and effector cells; and "adaptation" to a changing environment and evo... Read More about Representation and Decision Making in the Immune System.

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, July). Building low CO2 solutions to the vehicle routing problem with time windows using an evolutionary algorithm. Presented at International Conference on Evolutionary Computation, Barcelona, Spain

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..