This paper considers the use of randomly generated directed graphs as neighborhoods for particle swarm optimizers (PSO) using fully informed particles (FIPS), together with dynamic...
Arvind S. Mohais, Rui Mendes, Christopher Ward, Ch...
Differential Evolution (DE) is a novel evolutionary approach capable of handling non-differentiable, non-linear and multi-modal objective functions. DE has been consistently ranked...
—Divisible load model allows scheduling algorithms that give nearly optimal makespan with practical computational complexity. Beaumont et al. have shown that their algorithm prod...
Today, several data-storage systems allow applications to create and manage custom metadata to improve data search and navigability in large-scale storage systems. Our thesis is t...
Class imbalance is a ubiquitous problem in supervised learning and has gained wide-scale attention in the literature. Perhaps the most prevalent solution is to apply sampling to t...