Abstract: Over the past few years, a variety of surrogate-assisted evolutionary algorithms have emerged, aiming to tackle expensive multi-objective optimization problems. On the other hand, as the ...

Abstract: Real-world multi-objective optimization problems often rely on physics-based simulators or physical experiments to assess solution quality, resulting in significant computational costs. In ...