BOinEA: A Unified Hybrid Approach Integrating Bayesian Optimization and Evolutionary Algorithms for Neural Network Hyperparameter Tuning
Hyperparameter optimization (HPO) is a critical yet computationally intensive task in modern neural network design, particularly as model architectures and search spaces increase in complexity. Classical methods such as grid search and random search are often inefficient in high-dimensional spaces, while Bayesian optim...