Machine independent algorithm for concurrent finite-element problems
Buchanan, W., Buchanan, W. J., & Gupta, N. K. (1996)
Machine independent algorithm for concurrent finite-element problems. In 3rd International IEEE Conference on Computation in Electromagnetics, 1996, 17-20. doi:10.1049/cp:19960150
The finite-element method, initially developed for mechanical and civil engineering applications, is now applied to electromagnetics. This paper describes how parallel process...
BayesPiles: Visualisation Support for Bayesian Network Structure Learning
Vogogias, A., Kennedy, J., Archambault, D., Bach, B., Smith, V. A., & Currant, H. (2018)
BayesPiles: Visualisation Support for Bayesian Network Structure Learning. ACM transactions on intelligent systems and technology, 10(1), 1-23. https://doi.org/10.1145/3230623
We address the problem of exploring, combining and comparing large collections of scored, directed networks for understanding inferred Bayesian networks used in biology. In th...
On the comparison of initialisation strategies in differential evolution for large scale optimisation
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
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 ...
Eight-node membrane element with drilling degrees of freedom for analysis of in-plane stiffness of thick floor plates
Zhang, H., & Kuang, J. S. (2008)
Eight-node membrane element with drilling degrees of freedom for analysis of in-plane stiffness of thick floor plates. International Journal for Numerical Methods in Engineering, 76(13), 2117-2136. https://doi.org/10.1002/nme.2395
The development of eight-node arbitrary quadrilateral membrane elements with drilling degrees of freedom is presented using the compatible displacement interpolation within th...
Combined vs. Separate Views in Matrix-based Graph Analysis and Comparison.
Melville, A., Graham, M., & Kennedy, J. (2011)
Combined vs. Separate Views in Matrix-based Graph Analysis and Comparison. In 15th International Conference on Information Visualisation (IV), 2011https://doi.org/10.1109/IV.2011.49
While much work has been done in the area of visualization for analysis of graphs, relatively little research exists into how best to use visualization for comparing graphs. W...
Modelling and Forecasting Human Populations using Sigmoid Models
Raeside, R. Modelling and Forecasting Human Populations using Sigmoid Models. (Thesis)
Edinburgh Napier University. Retrieved from http://researchrepository.napier.ac.uk/Output/1053286
Early this century "S-shaped" curves, sigmoids, gained
populari ty among demographers. However, by 1940, the approach
had "fallen out of favour", being criticised for giving p...
On the use of inclusion structure in fuzzy clustering algorithm in case of Gaussian membership functions
Nefti-Meziani, S., Oussalah, M., & Soufian, M. (2015)
On the use of inclusion structure in fuzzy clustering algorithm in case of Gaussian membership functions. Journal of Intelligent and Fuzzy Systems, 28(4), 1477-1493. https://doi.org/10.3233/IFS-141407
This article addresses the problem of incorporating an inclusion structure in the general class of fuzzy c-means algorithms. Conventionally, all the classes of fuzzy clusterin...
Finding feasible timetables using group-based operators.
Lewis, R. M. R. & Paechter, B. (2007)
Finding feasible timetables using group-based operators. IEEE Transactions on Evolutionary Computation. 11, 397-413. doi:10.1109/TEVC.2006.885162. ISSN 1089-778X
This paper describes the applicability of the so-called "grouping genetic algorithm" to a well-known version of the university course timetabling problem. We note that there a...