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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...

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...
11 results

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

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

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

EvoNet II

2000 - 2012
The EvoNet series of conferences continue to be run annually by Jennifer Willies through the Institute of Informatics & Digital Innovation.
Funder: European Commission | Value: £467,000

KTP: Intelligent Agents

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

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