One of the key problems of restoring a degraded image from motion blur is the estimation of the unknown shiftinvariant linear blur filter. Several algorithms have been proposed ut...
—We present some methodological lessons and thoughts inferred from a research we are making on a simulation of the Rungis Wholesale Market (in France) using cognitive agents. The...
Philippe Caillou, Corentin Curchod, Tiago Baptista
A multiobjective genetic algorithm to uncover community structure in complex network is proposed. The algorithm optimizes two objective functions able to identify densely connecte...
In this paper, stereo matching and 3D visualization issues are studied for a linear pushbroom stereo model built for 3D gamma-ray (or x-ray) cargo inspection. A fast and automated...
Abstract. Multi-objective evolutionary algorithms (MOEAs) have proven to be a powerful tool for global optimization purposes of deterministic problem functions. Yet, in many real-w...