Towards reducing complexity of multi-agent simulations by applying model-driven techniques
Conference Proceeding
Hoffman, B., Chalmers, K., Urquhart, N., Farrenkopf, T., & Guckert, M. (2018)
Towards reducing complexity of multi-agent simulations by applying model-driven techniques. In Y. Demazeau, B. An, J. Bajo, & A. Fernández-Caballero (Eds.), Advances in Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection. PAAMS 2018, 187-199. https://doi.org/10.1007/978-3-319-94580-4_15
Creating multi-agent simulations is a challenging task often requiring programming skills at the professional software developer level. Model driven methods of software develo...
A Domain-Specific Language For Routing Problems
Conference Proceeding
Hoffmann, B., Hoffman, B., Guckert, M., Farrenkopf, T., Chalmers, K., & Urquhart, N. (2018)
A Domain-Specific Language For Routing Problems. In L. Nolle, A. Burger, C. Tholen, J. Werner, & J. Wellhausen (Eds.), Proceedings of the 32nd EUROPEAN CONFERENCE ON MODELLING AND SIMULATIONhttps://doi.org/10.7148/2018-0262
Vehicle Routing Problems (VRPs) are commonly used as benchmark optimisation problems and they also have many applications in industry. Using agent-based approaches to solve VR...
When is bigger better? The effects of group size on the evolution of helping behaviours: Effects of group size on evolution of helping
Journal Article
Powers, S. T., & Lehmann, L. (2017)
When is bigger better? The effects of group size on the evolution of helping behaviours: Effects of group size on evolution of helping. Biological Reviews, 92(2), 902-920. https://doi.org/10.1111/brv.12260
Understanding the evolution of sociality in humans and other species requires understanding how selection on social behaviour varies with group size. However, the effects of g...
Building low CO2 solutions to the vehicle routing problem with time windows using an evolutionary algorithm.
Conference Proceeding
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 pro...