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38 results

Understanding Environmental Influence in an Open-Ended Evolutionary Algorithm

Conference Proceeding
Steyven, A., Hart, E., & Paechter, B. (2016)
Understanding Environmental Influence in an Open-Ended Evolutionary Algorithm. In Parallel Problem Solving from Nature – PPSN XIV; Lecture Notes in Computer Science, 921-931. https://doi.org/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...

Peer-to-peer networks for scalable grid landscapes in social agent simulations.

Conference Proceeding
Craenen, B. G. W., & Paechter, B. (2005)
Peer-to-peer networks for scalable grid landscapes in social agent simulations. In Proceedings of the Artificial Intelligence and Social Behaviour Convention (AISB) 2005, 64-71
Recently, peer-to-peer networks have been proposed as the underlying architecture of large scale distributed social agent simulations. A number of problems arise when grid lan...

Learning to solve bin packing problems with an immune inspired hyper-heuristic.

Conference Proceeding
Sim, K., Hart, E., & Paechter, B. (2013)
Learning to solve bin packing problems with an immune inspired hyper-heuristic. In P. Liò, O. Miglino, G. Nicosia, S. Nolfi, & M. Pavone (Eds.), Advances in Artificial Life, ECAL 2013, 856-863. https://doi.org/10.7551/978-0-262-31709-2-ch126
Motivated by the natural immune system's ability to defend the body by generating and maintaining a repertoire of antibodies that collectively cover the potential pathogen spa...

Representations and evolutionary operators for the scheduling of pump operations in water distribution networks.

Journal Article
Lopez-Ibanez, M., Tumula, P., & Paechter, B. (2011)
Representations and evolutionary operators for the scheduling of pump operations in water distribution networks. Evolutionary Computation, 19, 429-467. https://doi.org/10.1162/EVCO_a_00035
Reducing the energy consumption of water distribution networks has never had more significance. The greatest energy savings can be obtained by carefully scheduling the operati...

Solving CSPs with evolutionary algorithms using self-adaptive constraint weights.

Conference Proceeding
Eiben, A. E., Jansen, B., Michalewicz, Z., & Paechter, B. (2000)
Solving CSPs with evolutionary algorithms using self-adaptive constraint weights. In D. Whitley (Ed.), GECCO-2000 : proceedings of the genetic and evolutionary computation conference, 128-134
This paper examines evolutionary algorithms (EAs) extended by various penalty-based approaches to solve constraint satisfaction problems (CSPs). In some approaches, the penalt...

Setting the research agenda in automated timetabling: the second international timetabling competition

Journal Article
McCollum, B., Schaerf, A., Paechter, B., McMulan, P., Lewis, R. M. R., Parkes, A. J., …Burke, E. (2010)
Setting the research agenda in automated timetabling: the second international timetabling competition. INFORMS Journal on Computing, 22, 120-130. https://doi.org/10.1287/ijoc.1090.0320
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...

Improving survivability in environment-driven distributed evolutionary algorithms through explicit relative fitness and fitness proportionate communication.

Conference Proceeding
Hart, E., Steyven, A., & Paechter, B. (2015)
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). https://doi.org/10.1145/2739480.2754688
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...

Hybridisation of Evolutionary Algorithms through hyper-heuristics for global continuous optimisation

Conference Proceeding
Segredo, E., Lalla-Ruiz, E., Hart, E., Paechter, B., & Voß, S. (2016)
Hybridisation of Evolutionary Algorithms through hyper-heuristics for global continuous optimisation. In P. Festa, M. Sellmann, & J. Vanschoren (Eds.), Learning and Intelligent Optimization: 10th International Conference, LION 10, Ischia, Italy, May 29 -- June 1, 2016, (296-305). https://doi.org/10.1007/978-3-319-50349-3_25
Choosing the correct algorithm to solve a problem still remains an issue 40 years after the Algorithm Selection Problem was first posed. Here we propose a hyper-heuristic whic...

Hybrid parameter control approach applied to a diversity-based multi-objective Memetic Algorithm for frequency assignment problems

Conference Proceeding
Segredo, E., Paechter, B., Hart, E., & Gonz´alez-Vila, C. I. (2016)
Hybrid parameter control approach applied to a diversity-based multi-objective Memetic Algorithm for frequency assignment problems. In 2016 IEEE Congress on Evolutionary Computation (CEC)https://doi.org/10.1109/CEC.2016.7743969
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...

Revisiting the Central and Peripheral Immune System

Conference Proceeding
McEwan, C., Hart, E., & Paechter, B. (2006)
Revisiting the Central and Peripheral Immune System. In Artificial Immune Systems. ICARIS 2007, 240-251. doi:10.1007/978-3-540-73922-7_21
The idiotypic network has a long and chequered history in both theoretical immunology and Artificial Immune Systems. In terms of the latter, the drive for engineering applicat...
11 results

Scapa Flow Technologies

2005 - 2006
To use evolutionary techniques to develop prototype software that will automatically optimise the performance of Enterprise Java software for large e-commerce systems.
Funder: Innovate UK | Value: £62,436

SCOPE: Server Configuration Optimisation through Parameter Evolution

2001 - 2006
SCOPE: Server Configuration Optimisation through Parameter Evolution
Funder: Innovate UK | Value: £100,000

Metaheuristics

2000 - 2004
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, remains a mystery. ...
Funder: European Commission | Value: £170,000

PerAda (PANORAMA)

2008 - 2011
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 reviewers co...
Funder: European Commission | Value: £761,800

FOCAS

2013 - 2016
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...
Funder: European Commission | Value: £639,999

DREAM

2000 - 2003
This project seeks to provide the technology and software infrastructure necessary to support the next generation of evolving infohabitants in a way that makes that infrastructure universal, open and ...
Funder: European Commission | Value: £171,524

AWARENESS (Co-ordination Action)

2010 - 2013
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:Self-Awareness in Autonomic Systems...
Funder: European Commission | Value: £487,925

KTP: Intelligent Agents

2019 - 2022
Improving customer experience through intelligent workflow
Funder: Innovate UK | Value: £268,152

Speckled Computing

2003 - 2008
To establish a research infrastructure for realising minute (around 1 cubic millimetre) semiconductor specks which can sense, compute and communicate wirelessly. Specks, scattered or sprayed on the pe...
Funder: Scottish Funding Council | Value: £120,000

New Ties

2004 - 2007
The project is concerned with emergence and complexity in socially-inspired artificial systems. We will study large systems consisting of an environment and an inhabitant population. The main goal of ...
Funder: European Commission | Value: £199,471