Tag: optimization algorithms

Researchers have developed eLSHADE+, an adaptive hybrid metaheuristic that improves dynamic model calibration in large-scale systems biology.

Researchers have introduced a robust feature similarity learning framework that achieves high deepfake detection accuracy and withstands adversarial perturbations.

Scaling gradient updates using Minimum Audible Angle factors reduces deep-learning spatial audio training costs by up to 52 percent without ...

A bilateral preference-aware scheduling algorithm balances task latency and energy consumption while enhancing resource utilization across edge computing systems.

Researchers have introduced Hooded Seal optimization, a swarm-based evolutionary metaheuristic that outperformed or matched established algorithms across classical and modern ...

A new framework combining reinforcement learning and Siamese convolutional networks with blockchain-secured routing reports over 92 percent accuracy in detecting ...

A PRISMA-based systematic review of 43 studies published between 2016 and 2025 classifies energy-efficient routing protocols for agricultural wireless sensor ...

Mathematicians have developed ADMM and linearized ADMM algorithms with explicit convergence guarantees for weakly convex optimization, demonstrating dramatic speedups in ...

An AI decision-support model tested across 85 automotive, electronics, and textile plants achieved up to 27 percent lower energy use, ...

Researchers have enhanced a rime-ice-inspired optimization algorithm with four adaptive strategies, achieving superior benchmark results and 95.52 percent accuracy in ...