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Urquhart, N. & Fonzone, A. (in press). Evolving solution filtering for real-world optimisation. In Proceedings of the Genetic and Evolutionary Computation Conference 2017ISBN not known
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 i...
Gkatzia, D., Rieser, V. & Lemon, O. (2016). How to Talk to Strangers: generating medical reports for first time users. In 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)doi:10.1109/FUZZ-IEEE.2016.7737739. ISBN 978-1-5090-0626-7, 978-1-5090-0625-0,
We propose a novel approach for handling first-time
users in the context of automatic report generation from timeseries
data in the health domain. Handling first-time users is...
Khartabil, D., Wells, S. & Kennedy, J. (2016). Large-scale Argument Visualization (LSAV). In Eurographics Conference on Visualization (EuroVis), Posters Track (2016)
Arguments are structures of premises and conclusions that underpin rational reasoning processes. Within complex knowledge domains, especially if they are contentious, argument...
Farrenkopf, T., Guckert, M., Urquhart, N. B. & Wells, S. (2016). Demo paper: AGADE - Scalability of ontology based agent simulations. In Advances in Practical Applications of Scalable Multi-agent Systems. The PAAMS Collection, 256-259. doi:10.1007/978-3-319-39324-7_25. ISBN 978-3-319-39323-0, 978-3-319-39324-7,
Simulations of real world scenarios often require considerably
large numbers of agents. With increasing level of detail and resolution
in the underlying models machine limitat...
Hart, E. & Sim, K. (2015). Roll Project Bin Packing Benchmark Problems. [Dataset]. doi:10.17869/ENU.2015.9364
This document describes two sets of Benchmark Problem Instances for the One Dimensional Bin Packing Problem. The problem instances are supplied as compressed (zipped) SQLITE d...
Dionisio, M., Gujaran, A., Pinto, M. & Esteves, A. (2015). Fall of Humans: Interactive tabletop games and transmedia storytelling. In Proceedings of the 2015 International Conference on Interactive Tabletops & Surfaces, 401-404. doi:10.1145/2817721.2823477. ISBN 978-1-4503-3899-8
This paper illustrates how transmedia storytelling can help introduce players to interactive tabletop games. To do so, we developed Fall of Humans (FoH), an experience that ta...
Hart, E. & Sim, K. (2015). Roll Project Job Shop scheduling benchmark problems. [Dataset]. doi:10.17869/ENU.2015.9365
This document describes two sets of benchmark problem instances for the job shop scheduling problem. Each set of instances is supplied as a compressed (zipped) archive contain...
Hart, E. & Sim, K. (2015). Roll Project Rich Vehicle Routing benchmark problems. [Dataset]. doi:10.17869/ENU.2015.9367
This document describes a large set of Benchmark Problem Instances for the Rich Vehicle Routing Problem. All files are supplied as a single compressed (zipped) archive contain...
Steyven, A., Hart, E. & Paechter, B. (2015). The Cost of Communication: environmental pressure and survivability in mEDEA. In Proceedings of the Companion Publication of the 2015 on Genetic and Evolutionary Computation Conference - GECCO Companion '15, 1239-1240. doi:10.1145/2739482.2768489. ISBN 978-1-4503-3488-4
We augment the mEDEA algorithm to explicitly account for
the costs of communication between robots. Experimental
results show that adding a costs for communication exerts
Farrenkopf, T., Guckert, M. & Urquhart, N. B. (2014). Demo Paper: AGADE Using Communities of Agents to Provide Realistic Feedback in Business Simulations. In Advances in Practical Applications of Agents, Multi-Agent Systems, and Sustainability: The PAAMS Collection, 271-274. doi:10.1007/978-3-319-18944-4_25. ISBN 978-3-319-18944-4
The need to provide realistic feedback against decisions made
within business games is a requirement if business games are to continue
to remain relevant in training towards i...
Hart, E., Steyven, A. & Paechter, B. (2014). Improving survivability in environment-driven distributed evolutionary algorithms through explicit relative fitness and fitness proportionate communication. In Proceedings of the 2015 on Genetic and Evolutionary Computation Conference - GECCO '15, 169-176. doi:10.1145/2739480.2754688. ISBN 978-1-4503-3472-3
Ensuring the integrity of a robot swarm in terms of maintaining
a stable population of functioning robots over long
periods of time is a mandatory prerequisite for building mo...
Urquhart, N. B., Hart, E. & Judson, A. (2014). Multi-Modal employee routing with time windows in an urban environment. In Proceedings of the 2015 Genetic and Evolutionary Algorithms Conference, 1503-1504. doi:10.1145/2739482.2764649. ISBN 978-1-4503-3488-4
An urban environment provides a number of challenges and opportunities
for organisations faced with the task of scheduling a mobile
workforce. Given a mixed set of public and ...
McMillan, C., Hart, E. & Chalmers, K. (2014). Collaborative diffusion on the GPU for path-finding in games. In Mora, A. M. & Squillero, G. (Eds.). Applications of Evolutionary Computation, 418-429. doi:10.1007/978-3-319-16549-3_34. ISBN 978-3-319-16548-6
Exploiting the powerful processing power available on the GPU in many machines, we investigate the performance of parallelised versions of pathfinding algorithms in typical ga...
Machado, P., Heywood, M. I., McDermott, J., Castelli, M., García-Sánchez, P., Burelli, P., …Sim, K. (2014). Genetic Programming. In Genetic Programming. doi:10.1007/978-3-319-16501-1. ISBN 978-3-319-16500-4
The 18th European Conference on Genetic Programming (EuroGP) took place during
April 8–10, 2015. Copenhagen, Denmark was the setting, and the Nationalmuseet was
the venue. Eur...
Salah, A. & Hart, E. (2014). Grid diversity operator for some population-based optimization algorithms. In Proceedings of the Companion Publication of the 2015 on Genetic and Evolutionary Computation Conference - GECCO Companion '15, 1475-1476. doi:10.1145/2739482.2764664. ISBN 978-1-4503-3488-4
We present a novel diversity method named Grid Diversity
Operator (GDO) that can be incorporated into multiple
population-based optimization algorithms that guides the