As enterprises race to adopt generative and agentic AI, many assume their data foundations are already in place. In reality, ...

Abstract: Constrained multi-objective optimization problems (CMOPs) generally contain multiple constraints, which not only form multiple discrete feasible regions but also reduce the size of optimal ...

Warnings that artificial intelligence will wipe out jobs and outthink its creators have become a familiar soundtrack to the ...

Abstract: Robust multiobjective optimization problems (RMOPs) widely exist in real-world applications, which introduce a variety of uncertainty in optimization models. While some evolutionary ...