Greedy
is an algorithmic paradigm that builds up a solution piece by piece, always
choosing the next piece that offers the most obvious and immediate benefit. So
the problems where choosing locally optimal also leads to global solutions is the best fit for Greedy.
For
example consider the Fractional Knapsack Problem. The local optimal
strategy is to choose the item that has maximum value vs weight ratio. This
strategy also leads to a globally optimal solution because we allowed taking fractions of an item.