Large-scale many-objective optimization problems (LSMaOPs) pose great difficulties for traditional evolutionary algorithms due to their slow search for Pareto-optimal solutions in huge decision space ...

Modern robotic systems—in drones or autonomous vehicles, for example—use a variety of sensors, ranging from cameras and accelerometers to GPS modules. To date, their correct integration has required ...

This article proposes a regularized block sparse Bayesian algorithm with structured prior learning, which involves a two-stage processing procedure. The first stage includes the acquisition of ...