MOO versus Coevolution

The crucial distinction between MOO and coevolutionary optimization problems is that in MOO, the test set T is finite and efficiently enumerated.
In coevolutionary optimization, T need not be nice, meaning we must simultaneously search for good tests as well as good candidates.

The crucial distinction between MOO and coevolutionary optimization problems is that in MOO, the test set T is finite and efficiently enumerated.