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Steyven, A., Hart, E. & Paechter, B. (2016). Understanding environmental influence in an open-ended evolutionary algorithm. In Parallel Problem Solving from Nature – PPSN XIV, 921-931. doi:10.1007/978-3-319-45823-6_86. ISBN 978-3-319-45822-9
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. (in press). Analysing the performance of migrating birds optimisation approaches for large scale continuous problems.
Segredo, E., Lalla-Ruiz, E., Hart, E., Paechter, B. & Voss, S. (in press). Hybridisation of Evolutionary Algorithms through hyper-heuristics for global continuous optimisation.
Optimisation – finding cost-effective or high-performing solutions - is a key economic driver for business today. However, academic literature on search-based optimisation te...
Scottish Funding Council
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 ...
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...
04 May 2016
The FOCAS project was rated as Excellent at its final review, after running for three years. The project coordinator was Emma Hart, with Jennifer Willies as Project Manager.
16 June 2016
Simon Powers will deliver a research seminar about his work on the evolution of institutions.
Abstract Economics, artificial life, and agent-based c...
Senior Research Fellow
KTP Associate - Data Analytics - Standard Life
Segredo, E., Paechter, B., Hart, E. & Gonz´alez-Vila, C. I. (in press). Hybrid parameter control approach applied to a diversity-based multi-objective Memetic Algorithm for frequency assignment problems.
In order to address the difficult issue of parameter setting within a diversity-based Multi-objective Evolutionary Algorithm (MOEA), we recently proposed a hybrid control sche...
Gkatzia, D., Rieser, V. & Lemon, O. (in press). How to Talk to Strangers: generating medical reports for first time users.
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...
Farrenkopf, T., Guckert, M., Urquhart, N. B. & Wells, S. (2015). Demo paper: AGADE - Scalability of ontology based agent simulations. In PAAMS 2016 – Main track and Demos proceedings
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...
Sim, K. & Hart, E. (2015). A novel heuristic generator for JSSP using a tree-based representation of dispatching rules. doi:10.1145/2739482.2764697. ISBN 978-1-4503-3488-4
A previously described hyper-heuristic framework named
NELLI is adapted for the classic Job Shop Scheduling Problem (JSSP) and used to find ensembles of reusable heuristics th...
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
Urquhart, N. B. & Hart, E. (2014). Creating optimised employee travel plans.
Sim, K., Hart, E., Urquhart, N. B. & Pigden, T. (2014). A new rich vehicle routing problem model and benchmark resource. In Proceedings of the The 11th edition of the International Conference on Evolutionary and Deterministic Methods for Design, Optimization and Control with Applications to Industrial and Societal Problems (EUROGEN 2015)
We describe a new rich VRP model that captures many real-world constraints, following a recently proposed taxonomy that addresses both scenario and problem physical characteri...
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...
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...
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
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 ...
Sim, K. & Hart, E. (2014). An improved immune inspired hyper-heuristic for combinatorial optimisation problems. In Igel, C. (Ed.). Proceedings of GECCO 2014 (Genetic and Evolutionary Computation Conference), 121-128. doi:10.1145/2576768.2598241. ISBN 978-1-4503-2662-9
The meta-dynamics of an immune-inspired optimisation sys- tem NELLI are considered. NELLI has previously shown to exhibit good performance when applied to a large set of optim...
This project is being undertaken in collaboration with McQueens Dairies. The principle aim is investigate the optimisation of drop-off points within milk...
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 an...
Engineering and Physical Sciences Research Council
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 a...
This project undertook the following tasks:
1) An analysis of the existing work flow within the energy audit process used by esave on behalf of their clients.
2) The specif...
For latest news and events, please see the project webpage here
Awareness is a Coordination Action (CA), supporting research under the FP7: FET Proactive Intiative:Sel...
The project finished on 31/06/11 and was evaluated as "Excellent: the project has fully achieved its objectives and technical goals for the period and has even exceeded expectations"
The project looked at using optimisation techniques to plan business travel (i.e. journey sharing) and reduce its environmental impact.
Both soft constraints (personal p...
To use evolutionary techniques to develop prototype software that will automatically optimise the performance of Enterprise Java software for large e-commerce systems.
To establish a research infrastructure for realising minute (around 1 cubic millimetre) semiconductor specks which can sense, compute and communicate wirelessly. Specks, scattered or...
The project made significant advances in discovering new automated methods for combining heuristics to solve bin-packin...
Metaheuristics are widely used to solve important practical combinatorial optimization problems. But the how and why they work effectively for specific problems and for others not, remai...
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...
Swarm robotics is a special case within the general field of robotics. The distributed nature makes it...
09 June 2016
Simon Powers will write an article about "defection" (as the term is used in game theory), for the forthcoming Encyclopedia of Evolutionary Psychological Science, edited by To...
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,...
06 January 2016
06 January 2016
CAVES Researcher Dr Neil Urquhart is to organise and chair a workshop on Intelligent Transport at the Parallel Problem Solving from Nature (PPSN) conference. The worksho...
14 January 2016
14 January 2016
Dr Neil Urquhart has been invited to present a seminar to the ERGO group (Edinburgh Research Group in Optimisation) at Edinburgh University. The seminar entitled "Explor...