Abstract: In surrogate-assisted evolutionary computation, a common method for constructing surrogate models is the Gaussian Process (GP), which is widely used because of its flexibility in handling ...

Abstract: Evolutionary multi-objective multi-task optimization (MO-MTO) can optimize multiple tasks simultaneously by knowledge transfer (KT) between tasks. However, the existing MO-MTO algorithms ...

Against the backdrop of global change—characterized by climate warming, shifting precipitation patterns, and intensified anthropogenic disturbances—the ...

A Lightweight and User-Friendly EoH Framework for LLM-driven Automated Algorithm/Heuristic Design Heuristics are indispensable for tackling complex search and optimization problems. However, manual ...

Multi-location brands must adapt to fragmented search visibility across Google, Maps, AI assistants, and social platforms.

For nearly two decades, the B2B directory model operated on a straightforward, quantitative premise: bigger is always ...

Traditional therapeutics target the inactive conformation of proteins, allowing tumors to adapt and resume signaling.

Microsoft Threat Intelligence identified an active multi-stage intrusion campaign targeting hospitality organizations in ...

Agentic AI moves beyond chatbots into systems that plan, use tools, and act. Learn key terms, architectures, risks, ...

We introduce a refined learning objective with margin policy gradient loss to enhance performance. Empirically, CompassJudger-2 achieves superior results across multiple judge and reward benchmarks, ...

Google’s AMIE research AI matched primary care physicians overall in simulated, multi-visit disease-management reasoning and ...