Evolving Staff Training Schedules using an Extensible Fitness Function and a Domain Specific Language
Conference Proceeding
Urquhart, N., & Hunter, K. (2024)
Evolving Staff Training Schedules using an Extensible Fitness Function and a Domain Specific Language. In S. Smith, J. Correia, & C. Cintrano (Eds.), Applications of Evolutionary Computation (83–97). https://doi.org/10.1007/978-3-031-56852-7_6
When using a meta-heuristic based optimiser in some industrial scenarios, there may be a need to amend the objective function as time progresses to encompass constraints that ...
Multi-Agent Modelling Notation (MAMN): A multi-layered graphical modelling notation for agent-based simulations
Conference Proceeding
Nguyen, J., Powers, S., Urquhart, N., Farrenkopf, T., & Guckert, M. (in press)
Multi-Agent Modelling Notation (MAMN): A multi-layered graphical modelling notation for agent-based simulations.
Cause-effect graphs have been applied in non agent-based simulations, where they are used to model chained causal relations between input parameters and system behaviour measu...
Using Semantic Technology to Model Persona for Adaptable Agents
Conference Proceeding
Nguyen, J., Farrenkopf, T., Guckert, M., Powers, S., & Urquhart, N. (2021)
Using Semantic Technology to Model Persona for Adaptable Agents. In ECMS 2021, 35th Proceedings (172-178). https://doi.org/10.7148/2021
In state of the art research a growing interest in the application of agent models for the simulation of road traffic can be observed. Software agents are particularly suitabl...
Using AGADE Traffic to Analyse Purpose-driven Travel Behaviour
Conference Proceeding
Nguyen, J., Powers, S. T., Urquhart, N., Farrenkopf, T., & Guckert, M. (2021)
Using AGADE Traffic to Analyse Purpose-driven Travel Behaviour. In Advances in Practical Applications of Agents, Multi-Agent Systems, and Social Good: The PAAMS Collection 19th International Conference, PAAMS 2021, Salamanca, Spain, October 6–8, 2021, Proceedings (363-366). https://doi.org/10.1007/978-3-030-85739-4_33
AGADE Traffic is an agent-based traffic simulator that can be used to analyse purpose-driven travel behaviour of individuals that leads to the emergence of systemic patterns i...
Modelling Individual Preferences to Study and Predict Effects of Traffic Policies
Conference Proceeding
Nguyen, J., Powers, S., Urquhart, N., Farrenkopf, T., & Guckert, M. (2021)
Modelling Individual Preferences to Study and Predict Effects of Traffic Policies. In Advances in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection 19th International Conference, PAAMS 2021, Salamanca, Spain, October 6–8, 2021, Proceedings (163-175). https://doi.org/10.1007/978-3-030-85739-4_14
Traffic can be viewed as a complex adaptive system in which systemic patterns arise as emergent phenomena. Global behaviour is a result of behavioural patterns of a large set ...
Optimisation Algorithms for Parallel Machine Scheduling Problems with Setup Times
Conference Proceeding
Kittel, F., Enekel, J., Guckert, M., Holznigenkemper, J., & Urquhart, N. (2021)
Optimisation Algorithms for Parallel Machine Scheduling Problems with Setup Times. In GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference Companion (131-132). https://doi.org/10.1145/3449726.3459487
Parallel machine scheduling is a problem of high practical relevance for the manufacturing industry. In this paper, we address a variant in which an unweighted combination of ...
Real Time Optimisation of Traffic Signals to Prioritise Public Transport
Conference Proceeding
Plötz, P., Wittpohl, M., & Urquhart, N. (2021)
Real Time Optimisation of Traffic Signals to Prioritise Public Transport. In Applications of Evolutionary Computation: 24th International Conference, EvoApplications 2021 (162-177). https://doi.org/10.1007/978-3-030-72699-7_11
This paper examines the optimisation of traffic signals to prioritise public transportation (busses) in real time. A novel representation for the traffic signal prioritisation...
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...
Athos: An Extensible DSL for Model Driven Traffic and Transport Simulation
Conference Proceeding
Hoffmann, B., Urquhart, N., Chalmers, K., & Guckert, M. (2020)
Athos: An Extensible DSL for Model Driven Traffic and Transport Simulation
Multi-agent systems may be considered appropriate tools for simulating complex systems such as those based around traffic and transportation networks. Modelling traffic partic...
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...