Tag: Cluster Computing

Researchers have developed a new optimization algorithm modeled on how the platypus uses electroreception and spatial memory to hunt, showing ...

Researchers have unveiled a hybrid swarm intelligence algorithm that combines firebug and tunicate search strategies with opposition-based learning to schedule ...

Researchers in China have developed an evolutionary algorithm that classifies decision variables into convergence and diversity roles and uses a ...

Researchers at Xiamen University of Technology have developed an entropy-driven clustering method that automatically tunes its own thresholds to separate ...

Researchers in India report that a Bayesian-optimized decision tree detects black hole attacks in RPL-based IoT networks with 98.71% accuracy, ...

Researchers at Changchun University have enhanced the Harris Hawk Optimization algorithm with fractional-order calculus, a cosine energy factor and Lévy-t ...

Researchers have developed a graph-aware framework combining Type-2 fuzzy logic and reinforcement learning that lets industrial IoT networks cluster themselves ...

Researchers in China have developed a new two-dimensional nonlinear sine-sqrt-cubic hyperchaotic map that encrypts color remote sensing images with near-ideal ...

A new comprehensive survey in Cluster Computing systematically compares how deep reinforcement learning algorithms are transforming task scheduling and offloading ...

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