Millions of AI agents and tools around the world have been imperiled by a critical vulnerability that can allow hackers to ...
Abstract: In multi-agent confrontation scenarios, a jammer is constrained by the single limited performance and inefficiency of practical application. To cope with these issues, this paper aims to ...
Abstract: This article proposes a surrogate-assisted evolutionary algorithm to tackle expensive inequality-constrained optimization problems through global exploration and local exploitation. The ...