Tag: Cluster Computing

Researchers have developed a multi-objective path-planning framework that uses Voronoi partitioning and urgency-based routing to extend the lifetime of rechargeable ...

Researchers have developed a parameter-free multi-objective particle swarm optimizer that uses automatic clustering to find multiple sets of optimal solutions ...

A new Cluster Computing study using public Alibaba cluster traces finds that simple linear regression often matches or beats deep ...

Researchers have extended the nature-inspired Artificial Ecosystem-based Optimization algorithm into a multi-objective framework that combines an external archive, shift-based density ...

A new federated learning framework called FedEntGate uses entropy-aware dynamic gating and adaptive differential privacy to cut communication overhead by ...

Researchers at Yantai University have developed SSAO, an adaptive oversampling method that uses Gaussian mixture model clustering and minimum enclosing ...

A new Petri net-based approach that links operations to the components they consume significantly outperforms traditional single-criterion methods for measuring ...