Global optimization refers to the process of finding the best possible solution from all feasible solutions for a given problem, often characterized by complex landscapes with multiple local minima and maxima. It is crucial in fields like engineering, economics, and machine learning, where optimal solutions can significantly impact performance and efficiency.