METAHEURISTIC HYPERPARAMETER OPTIMIZATION FOR DEEP LEARNING: A COMPARATIVE STUDY
A comparative analysis of two metaheuristic algorithms — Particle Swarm Optimization and Dwarf Mongoose Optimization — as advanced alternatives for hyperparameter tuning in deep learning models trained on the CIFAR-10 dataset reinforces the potential of metaheuristic-based optimization as a robust framework for hyperpa...