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Hart, E., & Sim, K. (2015, June). A research agenda for metaheuristic standardization. Paper presented at 11th Metaheuristics International Conference, Agadir, Morocco
We propose that the development of standardized, explicit, machine-readable descriptions of metaheuris- tics will greatly advance scientific progress in the field. In particul...
Helgason, I., Bradley, J., & Egan, C. (2011, March). This pervasive day: design and development case study. Paper presented at i-Docs, A Symposium on Interactive Documentary, Watershed Media Centre Bristol, UK
This presentation will describe the development process, and the underpinning rationale, behind a multi-format, interactive exhibition and online documentary. This project, to...
Urquhart, N., Powers, S., Wall, Z., Fonzone, A., Ge, J., & Polhill, G. (2019). Simulating the actions of commuters using a multi-agent system. Journal of Artificial Societies and Social Simulation, 22(2), https://doi.org/10.18564/jasss.4007
The activity of commuting to and from a place of work affects not only those travelling but also wider society through their contribution to congestion and pollution. It is de...
Scottish Funding Council
Extending a containerised microservices architecture developed in the initial project to support a set of user functions required for the platform's MVP. Additionally, the project will deliver cloud A...
Improving customer experience through intelligent workflow
Engineering and Physical Sciences Research Council
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 ...
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...
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, 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...
Voß, S., Segredo, E., Lalla-Ruiz, E., Hart, E., & Voss, S. (2018). On the performance of the hybridisation between migrating birds optimisation variants and differential evolution for large scale continuous problems. Expert Systems with Applications, 102, 126-142. https://doi.org/10.1016/j.eswa.2018.02.024
Migrating Birds Optimisation (mbo) is a nature-inspired approach which has been shown to be very effective when solving a variety of combinatorial optimisation problems. More ...
Martí, L., Segredo, E., Sánchez-Pi, N., & Hart, E. (2017). Impact of selection methods on the diversity of many-objective Pareto set approximations. Procedia Computer Science, 112, (844-853). ISSN 1877-0509
Selection methods are a key component of all multi-objective and, consequently, many-objective optimisation evolutionary algorithms. They must perform two main tasks simultane...
Segredo, E., Paechter, B., Segura, C., & González-Vila, C. I. (2018). On the comparison of initialisation strategies in differential evolution for large scale optimisation. Optimization Letters, 12(1), 221-234. https://doi.org/10.1007/s11590-017-1107-z
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...
Hart, E., & Sim, K. (2018). On Constructing Ensembles for Combinatorial Optimisation. Evolutionary Computation, 26(1), 67-87. https://doi.org/10.1162/evco_a_00203
Although the use of ensemble methods in machine-learning is ubiquitous due to their proven ability to outperform their constituent algorithms, ensembles of optimisation algori...
Capodieci, N., Hart, E., & Cabri, G. (2016). Artificial Immunology for Collective Adaptive Systems Design and Implementation. ACM transactions on autonomous and adaptive systems, 11(2), (1-25). doi:10.1145/2897372. ISSN 1556-4665
Distributed autonomous systems consisting of large numbers of components with no central control point need to be able to dynamically adapt their control mechanisms to deal wi...
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...
Powers, S. T., & Lehmann, L. (2017). When is bigger better? The effects of group size on the evolution of helping behaviours: Effects of group size on evolution of helping. Biological Reviews, 92(2), (902-920). doi:10.1111/brv.12260. ISSN 1464-7931
Understanding the evolution of sociality in humans and other species requires understanding how selection on social behaviour varies with group size. However, the effects of g...
Powers, S. T., van Schaik, C. P. & Lehmann, L. (2016). How institutions shaped the last major evolutionary transition to large-scale human societies. Philosophical Transactions B: Biological Sciences. 371(1678), 20150098. doi:10.1098/rstb.2015.0098. ISSN 0962-8436
What drove the transition from small-scale human societies centred on kinship and personal exchange, to large-scale societies comprising cooperation and division of labour amo...
Powers, S. T. & Lehmann, L. (2014). An evolutionary model explaining the Neolithic transition from egalitarianism to leadership and despotism. Proceedings of the Royal Society B: Biological Sciences. 281, 20141349-20141349. doi:10.1098/rspb.2014.1349. ISSN 0962-8452
The Neolithic was marked by a transition from small and relatively egalitarian groups, to much larger groups with increased stratification. But the dynamics of this
Segredo, E., Seguro, C., Coromoto, L., & Hart, E. (2014). A fuzzy logic controller applied to a diversity-based multi-objective evolutionary algorithm for single-objective optimisation. Soft Computing, 19(10), (2927-2945). doi:10.1007/s00500-014-1454-y. ISSN 1432-7643
In recent years, Multi-Objective Evolutionary Algorithms (MOEAS) that consider diversity as an objective have been used to tackle single-objective optimisation prob- lems. The...
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...
A feasibility study & demo of tendering and rating software for Market Prepare to increase the work capacity and improve their customer’s experience when booking trade work and dealing with trades peo...
Focusing on the IT aspects of sound recognition and analysis. The product will be used to monitor the players playing golf shots using a mixture of location, wi-fi and sounds technologies. Through us...
A demonstrator has been created which showcases a ranking algorithm and availability matching.
Currently discussions are ongoing regarding a follow on project.
Workshop style sessions were held with Avant Garde, their work so far was reviewed and issues relating to performance were examined. We were able to make specific suggestions to address a number of i...
This project is being undertaken in collaboration with McQueens Dairies. The principle aim is investigate the optimisation of drop-off points within milk rounds. The project will establish a suitable...
FOCAS is a coordination action in the area of collective adaptive systems. It provides increased visibility to the research carried out by projects funded by the FOCAS FET Proactive Initiative and oth...
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...
Swarm robotics is a special case within the general field of robotics. The distributed nature makes it...
Ubiquitous Computing promises to enrich our everyday lives by enabling the environment to be enhanced via compu...
Hyper-heuristics (HH) have been described as methodologies that aim to offer “good enough -soon enough - cheap enough” solutions to real world...
Prof. Emma Hart has been invited by Minister Kate Forbes to join a Scottish Government Steering Group to develop an Artificial Intelligence (AI) strategy for Scotland.
16 September 2019
PhD student Mohamad Alissa with supervisors Dr Kevin Sim and Prof. Emma Hart won the Best Paper award in the ECOM track at GECCO 2019 in Prague for their paper:
Algorithm Selection Using ...
16 July 2019
Laura van Beers from ContactEngine, a London based company delivering software that enables its customers to proactively engage customers in AI-driven conversations to fulfil their business objective...
17 December 2018
Prof. Emma Hart gave an invited talk at the monthly meet-up of the Scotland IS Software Engineering forum on behalf of the SICSA AI theme to describe the work taking place across Scottish Universities...
20 November 2018
Sentient Technologies, a world leader in artificial intelligence (AI) products based on evolutionary computation, today announced a new video collection that provides unique insights to the burgeonin...
13 August 2018
The Annual Humies prize is awarded at the International Conference on Genetic and Evolutionary Computation for human-competitive results that have been produced by any form of genetic and evolutionar...
18 July 2018
Prof. Emma Hart, Dr Andreas Steyven and Prof. Ben Paechter have been nominated for a prestigious best paper award at the GECCO 18, Kyoto, Japan for new work in evolving a diverse team of swarm robot...
14 July 2018
The International Joint Conference on Computational Intelligence brings together researchers, engineers and practitioners interested in the field of Computational Intelligence both from theoretical an...
1 November 2017
Members of the CAVES research group have 3 papers accepted at the world's leading conference on Evolutionary Computing. GECCO 2017 will be held in Berlin from 15-19th July 2017.
14 July 2017
This one-day symposium organised at the Radboud University Medical Centre brought together international scientists in the field of tumor immunology, computational and artificial immune systems.
17 February 2017
The New Year welcomed Emma Hart to the helm of Evolutionary Computation. She took over the role of Editor-in-Chief from Hans-Georg Beyer (who had assumed the role himself in 2010). Professor Hart ans...
The International Federation of Operational Research Societies (IFORS) is a 50-year old organization which is currently composed of 50 national societies. It publishes a quarterly newsletter in which...
5 December 2016
Update! Success for members of Bio-Inspired Special Interest Group.
17 July 2016
Simon Powers has been invited to give a seminar at Aston University.
15 June 2016
Simon Powers has been invited to contribute an article to the Encyclopedia of Evolutionary Psychological Science.
8 June 2016
Frankenstein Bar, 26 George IV Bridge, Edinburgh
15 May 2018
CORE 44, room C44 Merchiston Campus
21 March 2018
2 November 2017
Core44, room C44, Merchiston campus
1 March 2017
3 May 2016
14 January 2016
6 January 2016