Hyper Heuristic

Hyper-heuristics are high-level strategies that automate the selection and sequencing of lower-level heuristics to solve complex optimization problems, aiming to improve efficiency and solution quality compared to using a single heuristic. Current research focuses on integrating hyper-heuristics with machine learning techniques, such as reinforcement learning and large language models, and applying them to diverse domains including vehicle routing, project scheduling, and neural network training. This approach holds significant promise for tackling computationally challenging problems across various scientific and engineering disciplines by providing more robust and adaptable optimization methods.