Abstract: To solve dynamic multiobjective optimization problems (DMOPs), the optimization algorithms are required to track the movement of the Pareto set after the environmental changes effectively.
Abstract: Pedestrian recognition in complex scenes faces several challenges, especially in occluded environments, where features often lack discriminability and suffer from computational redundancy.