K. Barkas

Parallel Optimized Particle Swarm Optimization: An Efficient Parallel Approach for Neural Network Training

Global optimization has become a cornerstone of modern machine learning, particularly for the challenging task of training high-dimensional neural network architectures. Despite the prevalence of established metaheuristics, traditional approaches frequently struggle with the irregular and multimodal error surfaces inhe...