All Outputs (6)

What can we learn from simulating commuters? (2017)
Presentation / Conference Contribution
Urquhart, N. (2017, November). What can we learn from simulating commuters?. Presented at U!REKA

Commuting affects just about every member of the workforce in the UK, those who do not commute are affected by the congestion and pollution generated by such activities. There is increasing pressure on organisations to adopt practices and measures th... Read More about What can we learn from simulating commuters?.

Combining parallel coordinates with multi-objective evolutionary algorithms in a real-world optimisation problem (2017)
Presentation / Conference Contribution
Urquhart, N. (2017). Combining parallel coordinates with multi-objective evolutionary algorithms in a real-world optimisation problem. In GECCO ’17 Companion, B (1335-1340). https://doi.org/10.1145/3067695.3082485

Optimisation problems based upon real-world instances often contain many objectives. Many existing Multi-Objective Evolutionary Algorithm techniques return a set of solutions from which the user must make a final selection; typically such a set of so... Read More about Combining parallel coordinates with multi-objective evolutionary algorithms in a real-world optimisation problem.

A Unifying Software Framework for Vehicle Routing and Logistics (2017)
Presentation / Conference Contribution
Enenkel, J., Geyer, J., Keiner, J., Nguyen, J., Steuler, J. L., & Urquhart, N. (2017, July). A Unifying Software Framework for Vehicle Routing and Logistics. Paper presented at Annual Workshop of the EURO Working Group on Vehicle Routing and Logistics opt

A wide range of open source tools and real world data are available to support those working on vehicle routing and logistics optimisation. Despite such tools being available there is still a requirement for a unifying software API to allow researche... Read More about A Unifying Software Framework for Vehicle Routing and Logistics.

Evolving solution choice and decision support for a real-world optimisation problem (2017)
Presentation / Conference Contribution
Urquhart, N., & Fonzone, A. (2017, July). Evolving solution choice and decision support for a real-world optimisation problem. Presented at Proceedings of the Genetic and Evolutionary Computation Conference on - GECCO '17, Berlin, Germany

Agencies who provide social care services typically have to optimise staff allocations and the travel whilst attempting to satisfy conflicting objectives. In such cases it is desirable to have a range of solutions to choose from, allowing the agenc... Read More about Evolving solution choice and decision support for a real-world optimisation problem.

Information Diffusion in Multi-Agent Communities (2017)
Presentation / Conference Contribution
Farrenkopf, T., Guckert, M., Urquhart, N., & Wells, S. (2017, June). Information Diffusion in Multi-Agent Communities. Paper presented at 6th World Congress of the International Microsimulation Association, Moncalieri, Italy

Understanding the course of events when newly launched products penetrate a market, and how those products supersede existing dominant products, is crucial. Besides potential applications for business purposes the ability to simulate scenarios to mod... Read More about Information Diffusion in Multi-Agent Communities.

AGADE-TRAFFIC: Multi-Agent Simulations in Geographical Networks (2017)
Presentation / Conference Contribution
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 S

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. Geographic information is stored in a graph database and AGADE-TRAFFIC communicates... Read More about AGADE-TRAFFIC: Multi-Agent Simulations in Geographical Networks.