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 ...

Abstract: Surrogate-assisted evolutionary algorithms have received a surge of attentions for their promising ability of solving expensive optimization problems. Existing surrogate-assisted ...

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

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 ...

Arbor separates strategy from execution using isolated git worktrees, so engineering teams can finally trace which ...

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

Outgoing Indian Army Chief General Upendra Dwivedi who will be retiring at the end of June talked to Saurabh Sharma in an ...

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

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

The legal industry is currently witnessing a massive divergence between the speed of technological evolution and the reality ...

The global digital wound measurement devices market is entering a new phase of enterprise-driven expansion as healthcare ...