The ARE Robot Fabricator: How to (Re)produce Robots that Can Evolve in the Real World
Hale, M. F., Buchanan, E., Winfield, A. F., Timmis, J., Hart, E., Eiben, A. E., …Tyrrell, A. M. (2019)
The ARE Robot Fabricator: How to (Re)produce Robots that Can Evolve in the Real World. In ALIFE 2019: The 2019 Conference on Artificial Life, 95-102. https://doi.org/10.1162/isal_a_00147
The long term vision of the Autonomous Robot Evolution (ARE) project is to create an ecosystem of both virtual and physical robots with evolving brains and bodies. One of the ...
Athos - A Model Driven Approach to Describe and Solve Optimisation Problems
Hoffman, B., Chalmers, K., Urquhart, N., & Guckert, M. (2019)
Athos - A Model Driven Approach to Describe and Solve Optimisation Problems. https://doi.org/10.1145/3300111.3300114
Implementing solutions for optimisation problems with general purpose high-level programming languages is a time consuming task that can only be carried out by professional so...
Use of machine learning techniques to model wind damage to forests
Hart, E., Sim, K., Kamimura, K., Meredieu, C., Guyon, D., & Gardiner, B. (2019)
Use of machine learning techniques to model wind damage to forests. Agricultural and forest meteorology, 265, 16-29. https://doi.org/10.1016/j.agrformet.2018.10.022
This paper tested the ability of machine learning techniques, namely artificial neural networks and random forests, to predict the individual trees within a forest most at r...
A novel similarity-based mutant vector generation strategy for differential evolution
Segredo, E., Lalla-Ruiz, E., & Hart, E. (2018)
A novel similarity-based mutant vector generation strategy for differential evolution. In H. Aguirre (Ed.), Proceedings of the Genetic and Evolutionary Computation Conference 2018https://doi.org/10.1145/3205455.3205628
The mutant vector generation strategy is an essential component of Differential Evolution (DE), introduced to promote diversity, resulting in exploration of novel areas of the...
Emergence of hierarchy from the evolution of individual influence in an agent-based model
Perret, C., Powers, S. T., & Hart, E. (2017)
Emergence of hierarchy from the evolution of individual influence in an agent-based model. In Proceedings of the 14th European Conference on Artificial Life 2017, (348-355
The sudden transition from egalitarian groups to hierarchical societies that occurred with the origin of agriculture is one of the most striking features of the evolution of h...
Evaluation of a genetic representation for outline shapes
Lapok, P., Lawson, A., & Paechter, B. (2017)
Evaluation of a genetic representation for outline shapes. In GECCO '17 Proceedings of the Genetic and Evolutionary Computation Conference Companion, (1419-1422). https://doi.org/10.1145/3067695.3082501
This work in progress focuses on the evaluation of a genetic representation for outline shapes for planar mechanical levers which addresses the first stage of the complex real...
How to Talk to Strangers: generating medical reports for first time users
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)https://doi.org/10.1109/FUZZ-IEEE.2016.7737739
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...
Explanation-based learning with analogy for impasse resolution
Timperley, M., Mokhtar, M., Bellaby, G., & Howe, J. (2016)
Explanation-based learning with analogy for impasse resolution. Expert Systems with Applications, 61, 181-191. https://doi.org/10.1016/j.eswa.2016.05.030
This paper proposes an algorithm for the inclusion of analogy into Explanation-Based Learning (EBL). Analogy can be used when an impasse is reached to extend the deductive clo...
Demo paper: AGADE - Scalability of ontology based agent simulations
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. https://doi.org/10.1007/978-3-319-39324-7_25
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...
A hyper-heuristic ensemble method for static job-shop scheduling.
Hart, E., & Sim, K. (2016)
A hyper-heuristic ensemble method for static job-shop scheduling. Evolutionary Computation, 24(4), 609-635. https://doi.org/10.1162/EVCO_a_00183
We describe a new hyper-heuristic method NELLI-GP for solving job-shop scheduling problems (JSSP) that evolves an ensemble of heuristics. The ensemble adopts a divide-and-conq...