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 ...
Learning a procedure that can solve hard bin-packing problems: a new GA-based approach to hyperheuristics.
Conference Proceeding
Ross, P., Marin-Blazquez, J. G., Schulenburg, S. & Hart, E. (2003)
Learning a procedure that can solve hard bin-packing problems: a new GA-based approach to hyperheuristics
The idea underlying hyper-heuristics is to discover some
combination of familiar, straightforward heuristics that performs very well across a whole range of problems. To be wo...
Hyper-heuristics.
Book Chapter
Ross, P. (2005)
Hyper-heuristics. In E. Burke, & G. Kendall (Eds.), Search Methodologies: Introductory Tutorials in Optimization and Decision Support Techniques (529-556). Springer-Verlag
This chapter introduces and overviews an emerging methodology in search and optimisation. One of the key aims of these new approaches, which have been termed hyper-heuristics,...
Hyper-heuristics: learning to combine simple heuristics in bin-packing problems.
Conference Proceeding
Ross, P., Schulenburg, S., Marin-Blazquez, J. G. & Hart, E. (2002)
Hyper-heuristics: learning to combine simple heuristics in bin-packing problems. ISBN 1558608788
Evolutionary algorithms (EAs) often appear to be a ‘black box’, neither offering worst-case bounds nor any guarantee of optimality when used to solve individual problems. They...