Multi-objective optimization is concerned with problems involving multiple measures of performance which should be optimized simultaneously. In this paper, we extend AND/OR Branch-...
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...
We present an approach to exploit social and spatio-temporal context in order to improve information dissemination in dynamic largescale public spaces. We illustrate it by applying...
Nasim Mahmud, Petr Aksenov, Ansar-Ul-Haque Yasar, ...
We consider the problem of recursively and causally reconstructing time sequences of sparse signals (with unknown and time-varying sparsity patterns) from a limited number of noisy...
Abstract--In this paper, we propose a novel spectrum occupancy model designed to generate accurate temporal and frequency behavior of various wireless transmissions. Our proposed w...
Chittabrata Ghosh, Srikanth Pagadarai, Dharma P. A...