Evolutionary algorithm - is there a relation between minimum iterations and size of decision variables
As a very general heuristic, it's likely true that bigger problems are harder than smaller ones and benefit from more searching. Bigger populations, longer runs, etc. can be beneficial in that case.

The real question is whether your algorithm is converging or not. If you're converging before you find a good answer, more generations isn't going to help.