Abstract: This study tackles the blocking hybrid flow-shop scheduling problem (BHFSP), focusing on minimizing energy consumption. Unlike traditional problems, we consider machine standby, setup modes, ...

Cloud operators utilize collective communication optimizers to enhance the efficiency of the single-tenant, centrally managed training clusters they manage. However, current optimizers struggle to ...

In a K-shaped economy where the “have-nots” are increasingly falling behind the “haves,” the labor market is trending toward a similar fate. Job opportunities didn’t shrink as feared in October as ...

Abstract: Learning differential evolution (DE) algorithms are widely adopted to address flexible job-shop scheduling problems (FJSPs) because of the optimization ability. However, traditional learning ...