On the performance of the hybridisation between migrating birds optimisation variants and differential evolution for large scale continuous problems (2018)
Journal Article
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 recently, an adaptation of the algorithm has been proposed that enables it... Read More about On the performance of the hybridisation between migrating birds optimisation variants and differential evolution for large scale continuous problems.

Representation and Decision Making in the Immune System (2010)
Thesis
McEwan, C. Representation and Decision Making in the Immune System. (Thesis). Edinburgh Napier University. http://researchrepository.napier.ac.uk/id/eprint/4157

The immune system has long been attributed cognitive capacities such as "recognition" of pathogenic agents; "memory" of previous infections; "regulation" of a cavalry of detector and effector cells; and "adaptation" to a changing environment and evo... Read More about Representation and Decision Making in the Immune System.

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 (2009)
Presentation / Conference Contribution
Rubio, G., Guillen, A., Pomares, H., Rojas, I., Paechter, B., Glosekotter, P., & Torres-Ceballos, C. I. (2009, June). 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. Presented at 2009 International Conference on High Performance Computing & Simulation

The kernel weighted k-nearest neighbours (KWKNN) algorithm is an efficient kernel regression method that achieves competitive results with lower computational complexity than Least-Squares Support Vector Machines and Gaussian Processes. This paper pr... Read More about 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.

Dynamic response simulation through system identification. (2006)
Journal Article
Roberts, D., & Hay, N. (2006). Dynamic response simulation through system identification. Journal of sound and vibration, 295(3-5), 1017-1027. https://doi.org/10.1016/j.jsv.2006.02.004

Nonlinear dynamic systems, such as those associated with structural testing of vehicles, are considered. The vehicle, or a substructure, is mounted in a test rig that is normally driven by servo-hydraulic actuators. The specimen and test rig form a n... Read More about Dynamic response simulation through system identification..

An Empirical Analysis of the Grouping Genetic Algorithm: The Timetabling Case. (2005)
Presentation / Conference Contribution
Lewis, R., & Paechter, B. (2005, September). An Empirical Analysis of the Grouping Genetic Algorithm: The Timetabling Case. Presented at 2005 IEEE Congress on Evolutionary Computation, Edinburgh, Scotland

A grouping genetic algorithm (GGA) for the university course timetabling problem is outlined. We propose six different fitness functions, all sharing the same common goal, and look at the effects that these can have on the algorithm with respect to b... Read More about An Empirical Analysis of the Grouping Genetic Algorithm: The Timetabling Case..

Single Front Genetic Algorithms: A Performance Study (2003)
Presentation / Conference Contribution
de Toro Negro, F., Ortega, J., & Paechter, B. (2003, April). Single Front Genetic Algorithms: A Performance Study

An efficient adaptive broadcast algorithm for the mesh network (2001)
Presentation / Conference Contribution
Al-Dubai, A., & Ould-Khaoua, M. (2001, June). An efficient adaptive broadcast algorithm for the mesh network

Most existing broadcast algorithms proposed for the mesh do not scale well with the network size. Furthermore, they have been mainly based on deterministic routing, which cannot exploit the alternative paths provided by mesh topology to reduce commun... Read More about An efficient adaptive broadcast algorithm for the mesh network.