Different from traditional evolutionary algorithms (EAs), the multifactorial evolutionary
algorithm (MFEA) is proposed to optimize multiple optimization tasks concurrently. Through …

In solving many-objective optimization problems (MaOPs), existing nondominated sorting-
based multi-objective evolutionary algorithms suffer from the fast loss of selection pressure …

Consensus control of multiagent systems (MASs) has been one of the most extensive
research topics in the field of robotics and automation. The information sharing among the …

This article addresses the tracking control problem of multiagent systems (MASs) with
unknown dynamics. First, by designing a compensator, an augmented neighborhood error …

This article proposes a novel data reconstruction method, called projective cross-
reconstruction (PCR) for cross-domain recognition. The intrinsic philosophy behind PCR is …

In a typical game scenario, the attention in unmanned aerial vehicle (UAV) air combat
should be focused on both sides' maneuvering decision strategies. However, most existing …

One important component of develo** autonomous agents lies in the accurate prediction
of their opponents' behaviors when the agents interact with others in an uncertain …

In transfer learning (TL) for multiagent reinforcement learning (MARL), most popular
methods are based on action advising scheme, in which skilled agents directly transfer …