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38 results

Evaluation of a genetic representation for outline shapes

Conference Proceeding
Lapok, P., Lawson, A., & Paechter, B. (2017)
Evaluation of a genetic representation for outline shapes. In GECCO '17 Proceedings of the Genetic and Evolutionary Computation Conference Companion, (1419-1422). https://doi.org/10.1145/3067695.3082501
This work in progress focuses on the evaluation of a genetic representation for outline shapes for planar mechanical levers which addresses the first stage of the complex real...

On the Synthesis of Perturbative Heuristics for Multiple Combinatorial Optimisation Domains

Conference Proceeding
Stone, C., Hart, E., & Paechter, B. (2018)
On the Synthesis of Perturbative Heuristics for Multiple Combinatorial Optimisation Domains. In Parallel Problem Solving from Nature – PPSN XV 15th International Conference, Coimbra, Portugal, September 8–12, 2018, Proceedings, Part Ihttps://doi.org/10.1007/978-3-319-99253-2_14
Hyper-heuristic frameworks, although intended to be cross-domain at the highest level, rely on a set of domain-specific low-level heuristics at lower levels. For some domains,...

2-Dimensional Outline Shape Representation for Generative Design with Evolutionary Algorithms

Conference Proceeding
Lapok, P., Lawson, A., & Paechter, B. (2018)
2-Dimensional Outline Shape Representation for Generative Design with Evolutionary Algorithms. In H. Rodrigues, J. Herskovits, C. Mota Soares, A. Araújo, J. Guedes, J. Folgado, …J. Madeira (Eds.), EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization, 926-937. doi:10.1007/978-3-319-97773-7_80
In this paper, we investigate the ability of genetic representation methods to describe two-dimensional outline shapes, in order to use them in a generative design system. A s...

On the comparison of initialisation strategies in differential evolution for large scale optimisation

Journal Article
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...

Parallelization of the nearest-neighbour search and the cross-validation error evaluation for the kernel weighted k-nn algorithm applied to large data dets in matlab

Conference Proceeding
Rubio, G., Guillen, A., Pomares, H., Rojas, I., Paechter, B., Glosekotter, P., & Torres-Ceballos, C. I. (2009)
Parallelization of the nearest-neighbour search and the cross-validation error evaluation for the kernel weighted k-nn algorithm applied to large data dets in matlab. In HPCS '09. International Conference on High Performance Computing & Simulation, 2009https://doi.org/10.1109/hpcsim.2009.5192804
The kernel weighted k-nearest neighbours (KWKNN) algorithm is an efficient kernel regression method that achieves competitive results with lower computational complexity than ...

Parallel Optimisation of Pump Schedules with a Thread-Safe Variant of EPANET Toolkit

Conference Proceeding
López-Ibáñez, M., Prasad, D. T., & Paechter, B. (2009)
Parallel Optimisation of Pump Schedules with a Thread-Safe Variant of EPANET Toolkit. In Water Distribution Systems Analysis 2008https://doi.org/10.1061/41024%28340%2940
The optimisation of pump operations in water distribution networks is an ongoing research topic motivated by the great energy savings that a careful scheduling of pumps may ac...

Strengthening the Forward Variable Selection Stopping Criterion

Conference Proceeding
Herrera, L. J., Rubio, G., Pomares, H., Paechter, B., Guillén, A., & Rojas, I. (2009)
Strengthening the Forward Variable Selection Stopping Criterion. In Artificial Neural Networks – ICANN 2009, (215-224). https://doi.org/10.1007/978-3-642-04277-5_22
Given any modeling problem, variable selection is a preprocess step that selects the most relevant variables with respect to the output variable. Forward selection is the most...

A Hybrid Meta-Heuristic for Multi-Objective Optimization: MOSATS

Journal Article
Baños, R., Gil, C., Paechter, B., & Ortega, J. (2007)
A Hybrid Meta-Heuristic for Multi-Objective Optimization: MOSATS. Journal of mathematical modelling and algorithms, 6(2), 213-230. https://doi.org/10.1007/s10852-006-9041-6
Real optimization problems often involve not one, but multiple objectives, usually in conflict. In single-objective optimization there exists a global optimum, while in the mu...

An investigation of environmental influence on the benefits of adaptation mechanisms in evolutionary swarm robotics

Conference Proceeding
Steyven, A., Hart, E., & Paechter, B. (2017)
An investigation of environmental influence on the benefits of adaptation mechanisms in evolutionary swarm robotics. In GECCO '17 Proceedings of the Genetic and Evolutionary, (155-162). https://doi.org/10.1145/3071178.3071232
A robotic swarm that is required to operate for long periods in a potentially unknown environment can use both evolution and individual learning methods in order to adapt. How...

Evolution of a Functionally Diverse Swarm via a Novel Decentralised Quality-Diversity Algorithm

Conference Proceeding
Hart, E., Steyven, A. S. W., & Paechter, B. (2018)
Evolution of a Functionally Diverse Swarm via a Novel Decentralised Quality-Diversity Algorithm. In GECCO '18 Proceedings of the Genetic and Evolutionary Computation Conference, (101-108). https://doi.org/10.1145/3205455.3205481
The presence of functionality diversity within a group has been demonstrated to lead to greater robustness, higher performance and increased problem-solving ability in a broad...
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

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

KTP: Intelligent Agents

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