Potential energy-guided optimization algorithm: a novel physics-based metaheuristic for global optimization

In real-world applications, PEOA yields the lowest objective values for engineering problems and achieves the lowest Mean Squared Error in neural network hyperparameter tuning in the shortest time, collectively establishing PEOA as a robust and efficient solver for diverse and complex optimization challenges.