Hierarchical optimization is a strategy that involves solving complex problems by breaking them down into a series of smaller, more manageable sub-problems, each with its own objective and constraints. This approach allows for the efficient allocation of resources and the achievement of optimal solutions at multiple levels of a system's hierarchy, ensuring that local decisions contribute to the global optimum.