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6 results

On the performance of the hybridisation between migrating birds optimisation variants and differential evolution for large scale continuous problems

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 ...

Representation and Decision Making in the Immune System

Thesis
McEwan, C. Representation and Decision Making in the Immune System. (Thesis)
Edinburgh Napier University. Retrieved from 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 detec...

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 ...

Dynamic response simulation through system identification.

Journal Article
Hay, N., & Roberts, D. (2006)
Dynamic response simulation through system identification. Journal of sound and vibration, 295(3-5), (1017-1027). doi:10.1016/j.jsv.2006.02.004. ISSN 1095-8568
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 norma...

An Empirical Analysis of the Grouping Genetic Algorithm: The Timetabling Case.

Conference Proceeding
Lewis, R., & Paechter, B. (2005)
An Empirical Analysis of the Grouping Genetic Algorithm: The Timetabling Case. In 2005 IEEE Congress on Evolutionary Computation, 2856-2863. https://doi.org/10.1109/cec.2005.1555053
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...

An efficient adaptive broadcast algorithm for the mesh network

Conference Proceeding
Al-Dubai, A., & Ould-Khaoua, M. (2001)
An efficient adaptive broadcast algorithm for the mesh network. In Eighth International Conference on Parallel and Distributed Systems (ICPADS'01), 83-90. https://doi.org/10.1109/ICPADS.2001.934805
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 cann...

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