Tag: opposition-based learning

A diffusion-inspired metaheuristic replacing gradient descent with density-driven particle dispersal achieves superior optimization accuracy across high-dimensional and noisy benchmark landscapes.

A hybrid metaheuristic algorithm combining the Aquila Optimizer, the Sine Cosine Hyperbolic Optimizer, and opposition-based learning tuned eight hyperparameters of ...

Researchers at Lorestan University have combined ant colony optimization, reinforcement learning, and opposition-based learning in a semi-supervised framework that improves ...

Researchers in India have developed a hybrid AI framework combining AHP and an opposition-based NSGA-III algorithm that simultaneously optimizes construction ...

Researchers in New Delhi have built a hybrid deep learning framework combining improved SMOTE, swarm-based feature selection, and chaos-assisted metaheuristic ...

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