Tag: swarm intelligence

A new hybrid algorithm combining spider-inspired optimization with fuzzy neural networks achieves 96.1 percent accuracy in tourism demand prediction and ...

Researchers have enhanced the Grey Wolf Optimizer with Sobol sequence initialization and stagnation-triggered Lévy flight, achieving up to 99.76 percent ...

Researchers in India have unveiled a federated learning framework that combines reinforcement learning, tunicate swarm optimization, differential privacy and blockchain ...

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

A new deep residual framework that uses coot bird-inspired optimization to select feature representations achieves 97.9% recognition accuracy on the ...

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

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

A new systematic review in Artificial Intelligence Review maps how multi-objective optimization algorithms are being used to balance accuracy, false ...

A new review in Artificial Intelligence Review charts four years of development of the Horse Herd Optimization Algorithm, a nature-inspired ...

Researchers have developed a hybrid Greater Cane Mayfly Algorithm that improves routing, quality of service, and resource efficiency in mobile ...