Zero Hour Lecturer
Perret, C., Powers, S. T., Pitt, J., & Hart, E. (2018). Can justice be fair when it is blind? How social network structures can promote or prevent the evolution of despotism. In T. Ikegami, N. Virgo, O. Witkowski, M. Oka, R. Suzuki, & H. Iizuka (Eds.), Proceedings of the 2018 Conference on Artificial Lifedoi:10.1162/isal_a_00058
Hierarchy is an efficient way for a group to organize, but often goes along with inequality that benefits leaders. To control despotic behaviour, followers can assess leaders'...
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 2018
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...
Akram, R. N., Markantonakis, K., Mayes, K., Habachi, O., Sauveron, D., Steyven, A., & Chaumette, S. (2017). Security, privacy and safety evaluation of dynamic and static fleets of drones. In 2017 IEEE/AIAA 36th Digital Avionics Systems Conference (DASC),doi:10.1109/dasc.2017.8101984
Interconnected everyday objects, either via public or private networks, are gradually becoming reality in modern life -- often referred to as the Internet of Things (IoT) or C...
Engineering and Physical Sciences Research Council
The project made significant advances in discovering new automated methods for combining heuristics to solve bin-packing problems, outperforming results obtained by any individual heuristic.
The proposed research is a direct response to the European Commission's Active and Healthy Ageing initiative, with an
overarching goal to improve the quality of life of older people. By pursuing 15 di...
Robotics is changing the landscape of innovation. But traditional design approaches are not suited to novel or unknown habitats and contexts, for instance: robot colonies for ore mining, exploring or ...
01 November 2017
17 February 2017
18 July 2016
Congratulations to the following SIG members who have the following papers accepted at upcoming international conferences:
Alife 2016 (Cancun, Mexico) Simon Pow...
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...
Hart, E., Sim, K., Gardiner, B., & Kamimura, K. (2017). A hybrid method for feature construction and selection to improve wind-damage prediction in the forestry sector. In GECCO '17 Proceedings of the Genetic and Evolutionary Computation Conference, 1121-1128. doi:10.1145/3071178.3071217
Catastrophic damage to forests resulting from major storms has resulted in serious timber and financial losses within the sector across Europe in the recent past. Developing r...
Steyven, A., Hart, E., & Paechter, B. (2015). Understanding Environmental Influence in an Open-Ended Evolutionary Algorithm. In Parallel Problem Solving from Nature – PPSN XIV; Lecture Notes in Computer Science, 921-931. doi:10.1007/978-3-319-45823-6_86
It is well known that in open-ended evolution, the nature
of the environment plays in key role in directing evolution. However, in Evolutionary Robotics, it is often unclear e...
Lalla-Ruiz, E., Segredo, E., Voss, S., Hart, E., & Paechter, B. (2016). Analysing the performance of migrating birds optimisation approaches for large scale continuous problems. In Parallel Problem Solving from Nature – PPSN XIV, 134-144. doi:10.1007/978-3-319-45823-6_13
We present novel algorithmic schemes for dealing with large
scale continuous problems. They are based on the recently proposed
population-based meta-heuristics Migrating Birds...
Hart, E., & Davoudani, D. (2009). Dendritic cell trafficking: from Immunology to Engineering. In Artificial Immune Systems,, 11-13. doi:10.1007/978-3-642-03246-2_4
The field of Artificial Immune Systems (AIS) has derived inspiration from many different elements of the natural immune system in order to develop engineered systems that oper...
Hart, E., & Ross, P. (1998). An immune system approach to scheduling in changing environments. In W. Banzhaf, J. M. Daida, A. E. Eiben, M. H. Garzon, V. Honavar, M. Jakiela, & R. E. Smith (Eds.), GECCO-99 : proceedings of the genetic and evolutionary computation conference. Volume 2, 1559-1566
This paper describes the application of an artificial immune system, (AIS), model to a scheduling application, in which sudden changes in the scheduling environment require th...
Hart, E., Read, M., McEwan, C., Aickelin, U. & Greensmith, J. (2012). On the role of the AIS practitioner. In Liò, P., Miglino, O., Nicosia, G., Nolfi, S. & Pavone, M. (Eds.). Advances in Artificial Life, ECAL 2013, 891-892. doi:10.7551/978-0-262-31709-2-ch132
Cognisant of the gulf between engineers and immunologists
that currenty hinders a truly inter-disciplinary approach to
the field of Artificial Immune Systems (AIS), we propose...
Hart, E. & Davoudani, D. (2010). An engineering-Informed modelling approach to AIS. In Proceedings of International Conference on Artificial Immune Systems (ICARIS 2010), 240-253. doi:10.1007/978-3-642-22371-6_22. ISBN 978-3-642-22370-9
A recent shift in thinking in Artificial Immune Systems (AIS)
advocates developing a greater understanding of the underlying biological
systems that serve as inspiration for e...
Martí, L., Segredo, E., Sánchez-Pi, N., & Hart, E. (in press). Selection Methods and Diversity Preservation in Many-Objective Evolutionary Algorithms. Data Technologies and Applications, doi:10.1108/DTA-01-2018-0009. ISSN 2514-9288
Purpose – One of the main components of multi-objective, and therefore, many-objective evolutionary algorithms is the selection mechanism. It is responsible for performing two...
Segredo, E., Paechter, B., Segura, C., & González-Vila, C. I. (2017). On the comparison of initialisation strategies in differential evolution for large scale optimisation. Optimization Letters, 12(1), (221-234). doi:10.1007/s11590-017-1107-z. ISSN 1862-4472
Differential Evolution (DE) has shown to be a promising global opimisation solver for continuous problems, even for those with a large dimensionality. Different previous works...
(2009). E. Hart, C. McEwan, J. Timmis, & A. Hone (Eds.), Artificial Immune Systems: 9th International Conference, ICARIS 2010, Edinburgh, UK, July 26-29, 2010, Proceedings. Berlin Heidelberg: Springer Verlag. doi:10.1007/978-3-642-14547-6
Artificial immune systems (AIS) is a diverse and maturing area of research that bridges the disciplines of immunology and computation. The original research impetus in AIS had...
McCollum, B., Schaerf, A., Paechter, B., McMulan, P., Lewis, R. M. R., Parkes, A. J., …Burke, E. (2009). Setting the research agenda in automated timetabling: the second international timetabling competition. INFORMS Journal on Computing. 22, 120-130. doi:10.1287/ijoc.1090.0320. ISSN 1091-9856
The Second International Timetabling Competition (TTC2007) opened in August 2007. Building on the success of the first competition in 2002, this sequel aimed to further develo...
Optimisation – finding cost-effective or high-performing solutions - is a key economic driver for business today. However, academic literature on search-based optimisation techniques reflects an escal...
This project aims to improve the current state of the art in developing optimisation tools which are relevant and acceptable to industry.
This will be achieved by addressing industrial current concer...
Hyper-heuristics (HH) have been described as methodologies that aim to offer “good enough -soon enough - cheap enough” solutions to real world...
04 May 2016
04 May 2016
Congratulations to the following SIG members who have the following papers accepted at upcoming international conferences & journals
Alife 2016 (Cancun,...