Use of machine learning techniques to model wind damage to forests
Journal Article
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...
Emergence of hierarchy from the evolution of individual influence in an agent-based model
Conference Proceeding
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...
Roll Project Bin Packing Benchmark Problems.
Dataset
Hart, E. & Sim, K. (2015)
Roll Project Bin Packing Benchmark Problems. 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...
Roll Project Job Shop scheduling benchmark problems.
Dataset
Hart, E. & Sim, K. (2015)
Roll Project Job Shop scheduling benchmark problems. 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...
Roll Project Rich Vehicle Routing benchmark problems.
Dataset
Hart, E. & Sim, K. (2015)
Roll Project Rich Vehicle Routing benchmark problems. 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...
Collaborative Diffusion on the GPU for Path-Finding in Games
Conference Proceeding
McMillan, C., Hart, E., & Chalmers, K. (2015)
Collaborative Diffusion on the GPU for Path-Finding in Games. In A. M. Mora, & G. Squillero (Eds.), Applications of Evolutionary Computation; Lecture Notes in Computer Science. , (418-429). https://doi.org/10.1007/978-3-319-16549-3_34
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...
General and craniofacial development are complex adaptive processes influenced by diversity
Journal Article
Hart, E., Brook, A. H., Brook-O'Donnell, M., Hone, A., Hughes, T., & Smith, R. (2014)
General and craniofacial development are complex adaptive processes influenced by diversity. Australian Dental Journal, 59(S1), 13-22. https://doi.org/10.1111/adj.12158
Complex systems are present in such diverse areas as social systems, economies, ecosystems and Biology and, therefore, are highly relevant to dental research, education and pr...
Advances in artificial immune systems
Journal Article
Hart, E., McEwan, C., Timmis, J., & Hone, A. (2011)
Advances in artificial immune systems. Evolutionary Intelligence, 4, 67-68. https://doi.org/10.1007/s12065-011-0058-z
The field of Artificial Immune Systems (AIS) derives inspiration from processes and mechanisms apparent in the biological immune system. After early applications of this parad...
Building low CO2 solutions to the vehicle routing problem with time windows using an evolutionary algorithm.
Conference Proceeding
Urquhart, N. B., Hart, E., & Scott, C. (2010)
Building low CO2 solutions to the vehicle routing problem with time windows using an evolutionary algorithm. In IEEE Congress on Evolutionary Computation. https://doi.org/10.1109/CEC.2010.5586088
An evolutionary Multi-Objective Algorithm (MOA) is used to investigate the trade-off between CO2 savings, distance and number of vehicles used in a typical vehicle routing pro...
Application areas of AIS: The past, the present and the future
Journal Article
Hart, E., & Timmis, J. (2008)
Application areas of AIS: The past, the present and the future. Applied Soft Computing, 8(1), 191-201. doi:10.1016/j.asoc.2006.12.004
After a decade of research into the area of artificial immune systems, it is worthwhile to take a step back and reflect on the contributions that the
paradigm has brought to t...