Towards reducing complexity of multi-agent simulations by applying model-driven techniques
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
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...
Building low CO2 solutions to the vehicle routing problem with time windows using an evolutionary algorithm.
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 Computationhttps://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...