Adaptive Hyper-Heuristics

Adaptive Hyper-Heuristics are advanced problem-solving techniques that automatically select or generate the best strategies to solve complex tasks. Rather than using a fixed method, they learn from past performance to adapt their approach dynamically. Think of it as a smart system that tests different methods, keeps track of which work best, and then focuses on those for improved efficiency. This adaptability makes them effective across diverse problems, reducing the need for manual tuning and enhancing overall solution quality.