CO2Y the intelligent green solution: minimising carbon emissions by maximising shared travel opportunity.
Presentation / Conference
Urquhart, N. B., McEwan, T., Holden, R., & Vogogias, T. (2009, May)
CO2Y the intelligent green solution: minimising carbon emissions by maximising shared travel opportunity. Paper presented at Scottish Transport Applications Research Conference, Glasgow
It is in the interests of everybody that the environment is protected. In view of the recent leaps in environmental awareness it would seem timely and sensible, therefore, for...
Real-time construction of aircraft landing schedules using an evolutionary algorithm
Conference Proceeding
Urquhart, N. (2006)
Real-time construction of aircraft landing schedules using an evolutionary algorithm. In M. Cattolico, M. Keijzer, M. O. Neill, & C. M. Ryan (Eds.), Genetic and Evolutionary Computation Conference (GECCO)https://doi.org/10.1145/1143997.1144309
This poster investigates the use of Evolutionary Algorithms (EAs) to optimise solutions to the Dynamic Aircraft Landing Problem (DALP). The approach adopted here uses an EA to...
The stuff we swim in: Regulation alone will not lead to justifiable trust in AI
Journal Article
Powers, S. T., Linnyk, O., Guckert, M., Hannig, J., Pitt, J., Urquhart, N., …Weber, T. (2023)
The stuff we swim in: Regulation alone will not lead to justifiable trust in AI. IEEE technology & society magazine, 42(4), 95-106. https://doi.org/10.1109/MTS.2023.3341463
Information technology is used ubiquitously and has become an integral part of everyday life. With the ever increasing pervasiveness and persuasiveness of Artificial Intellige...
AGADE-TRAFFIC: Multi-Agent Simulations in Geographical Networks
Conference Proceeding
Rotärmel, S., Farrenkopf, T., Guckert, M., & Urquhart, N. (2017)
AGADE-TRAFFIC: Multi-Agent Simulations in Geographical Networks. In Y. Demazeau, P. Davidsson, J. Bajo, & Z. Vale (Eds.), Advances in Practical Applications of Cyber-Physical Multi-Agent Systems: The PAAMS Collection. , (355-358). https://doi.org/10.1007/978-3-319-59930-4_37
AGADE-TRAFFIC is a tool for simulating traffic flow in networks. Traffic participants are modelled as NetLogo agents and are visualised in a graphical user interface. Geograph...
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...
Carbon-friendly travel plan construction using an evolutionary algorithm
Conference Proceeding
Urquhart, N. B., & Urquhart, N. B. (2007)
Carbon-friendly travel plan construction using an evolutionary algorithm. In H. Lipson (Ed.), GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation (2269). https://doi.org/10.1145/1276958.1277404
This paper discusses the use of an evolutionary algorithm to design workplace travel plans, to promote car sharing and reduce carbon emissions from single-occupancy motor veh...
An Illumination Algorithm Approach to Solving the Micro-Depot Routing Problem
Conference Proceeding
Urquhart, N., Hoehl, S., & Hart, E. (2019)
An Illumination Algorithm Approach to Solving the Micro-Depot Routing Problem. In GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion. , (1347-1355). https://doi.org/10.1145/3321707.3321767
An increasing emphasis on reducing pollution and congestion in city centres combined with an increase in online shopping is changing the ways in which logistics companies addr...
Automated, Explainable Rule Extraction from MAP-Elites archives
Conference Proceeding
Urquhart, N., Höhl, S., & Hart, E. (2021)
Automated, Explainable Rule Extraction from MAP-Elites archives. In Applications of Evolutionary Computation: 24th International Conference, EvoApplications 2021. , (258-272). https://doi.org/10.1007/978-3-030-72699-7_17
Quality-diversity(QD) algorithms that return a large archive of elite solutions to a problem provide insights into how high-performing solutions are distributed throughout a f...
Quantifying the effects of increasing user choice in MAP-Elites applied to a Workforce Scheduling and Routing Problem.
Conference Proceeding
Urquhart, N., Hart, E., & Hutcheson, W. (2019)
Quantifying the effects of increasing user choice in MAP-Elites applied to a Workforce Scheduling and Routing Problem. In EvoApplications 2019: Applications of Evolutionary Computation, 49-63. https://doi.org/10.1007/978-3-030-16692-2_4
Quality-diversity algorithms such as MAP-Elites provide a means of supporting the users when finding and choosing solutions to a problem by returning a set of solutions which ...
Information Diffusion in Multi-Agent Communities
Conference Proceeding
Farrenkopf, T., Guckert, M., Urquhart, N., & Wells, S. (in press)
Information Diffusion in Multi-Agent Communities. In Conference Proceedings
Understanding the course of events when newly launched products penetrate a market, and how those products supersede existing dominant products, is crucial. Besides potential ...